Triple
T6520908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holloway Road Underground station |
E151177
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
HBY
HBY is the National Rail station code used to identify Holloway Road Underground station in London’s public transport system.
|
E601414
|
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: HBY | Statement: [Holloway Road Underground station, hasStationCode, HBY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HBY Context triple: [Holloway Road Underground station, hasStationCode, HBY]
-
A.
HYB
HYB is the station code for Hyderabad Deccan, a major railway terminus serving the city of Hyderabad in India.
-
B.
HBI
HBI is the stock ticker symbol for Hanesbrands Inc., an American apparel company best known for its Hanes and Champion clothing brands.
-
C.
HY
HY is the commonly used abbreviation for the University of Helsinki, a major research university in Finland.
-
D.
VBY
VBY is the IATA airport code for Visby Airport, which serves the city of Visby on the Swedish island of Gotland.
-
E.
HB
HB is the second-generation Holden Torana small family car series produced in the late 1960s, known for introducing more modern styling and engineering updates over its predecessor.
- 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: HBY Triple: [Holloway Road Underground station, hasStationCode, HBY]
Generated description
HBY is the National Rail station code used to identify Holloway Road Underground station in London’s public transport system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HBY Target entity description: HBY is the National Rail station code used to identify Holloway Road Underground station in London’s public transport system.
-
A.
HYB
HYB is the station code for Hyderabad Deccan, a major railway terminus serving the city of Hyderabad in India.
-
B.
HBI
HBI is the stock ticker symbol for Hanesbrands Inc., an American apparel company best known for its Hanes and Champion clothing brands.
-
C.
HY
HY is the commonly used abbreviation for the University of Helsinki, a major research university in Finland.
-
D.
VBY
VBY is the IATA airport code for Visby Airport, which serves the city of Visby on the Swedish island of Gotland.
-
E.
HB
HB is the second-generation Holden Torana small family car series produced in the late 1960s, known for introducing more modern styling and engineering updates over its predecessor.
- 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ad9431f081909b14b3df3414a55f |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb6f934481908a95d7424aa23414 |
completed | March 27, 2026, 6:24 p.m. |
| NEDg | Description generation | batch_69c6cd88f66c81909b364a816aeee8bf |
completed | March 27, 2026, 6:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6ce3a53cc8190a40d696a22ec65f4 |
completed | March 27, 2026, 6:36 p.m. |
Created at: March 27, 2026, 1:45 p.m.