Triple
T9160189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hampstead tube station |
E219800
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
HMD
HMD is the three-letter station code used to identify Hampstead tube station on the London Underground network.
|
E782596
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: HMD | Statement: [Hampstead tube station, stationCode, HMD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HMD Context triple: [Hampstead tube station, stationCode, HMD]
-
A.
HMD
HMD is the commonly used abbreviation for Holocaust Memorial Day in the United Kingdom, a national day of remembrance for the victims of the Holocaust and subsequent genocides.
-
B.
HMD Global
HMD Global is a Finnish consumer electronics company best known for designing and marketing Nokia-branded mobile phones and smartphones.
-
C.
Noki
Noki are a species of shell-wearing, sea snail-like inhabitants of Isle Delfino known for their peaceful, oceanic lifestyle in the Super Mario series.
-
D.
Nokia
Nokia is a Finnish multinational telecommunications and consumer electronics company best known for its historic leadership in mobile phones and its current focus on network infrastructure and 5G technologies.
-
E.
HTC
HTC is a Taiwanese consumer electronics company best known for manufacturing smartphones and other mobile devices, including early Android and Windows-based phones.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: HMD Triple: [Hampstead tube station, stationCode, HMD]
Generated description
HMD is the three-letter station code used to identify Hampstead tube station on the London Underground network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HMD Target entity description: HMD is the three-letter station code used to identify Hampstead tube station on the London Underground network.
-
A.
HMD
HMD is the commonly used abbreviation for Holocaust Memorial Day in the United Kingdom, a national day of remembrance for the victims of the Holocaust and subsequent genocides.
-
B.
HMD Global
HMD Global is a Finnish consumer electronics company best known for designing and marketing Nokia-branded mobile phones and smartphones.
-
C.
Noki
Noki are a species of shell-wearing, sea snail-like inhabitants of Isle Delfino known for their peaceful, oceanic lifestyle in the Super Mario series.
-
D.
Nokia
Nokia is a Finnish multinational telecommunications and consumer electronics company best known for its historic leadership in mobile phones and its current focus on network infrastructure and 5G technologies.
-
E.
HTC
HTC is a Taiwanese consumer electronics company best known for manufacturing smartphones and other mobile devices, including early Android and Windows-based phones.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca83e3633c81908688a9fa2306ba99 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca9d953c081908d21f363801aaae4 |
completed | April 1, 2026, 5:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0547073cc8190999fe640c7ccd373 |
completed | April 3, 2026, 11:59 p.m. |
| NEDg | Description generation | batch_69d05560d6888190b4faf3406f9ff9f2 |
completed | April 4, 2026, 12:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d059161a1881909ceaaf8b0893dbea |
completed | April 4, 2026, 12:19 a.m. |
Created at: March 30, 2026, 7:21 p.m.