Triple
T5891542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Askernish |
E131000
|
entity |
| Predicate | postcodeArea |
P920
|
FINISHED |
| Object |
HS
HS is the postcode area covering the Outer Hebrides (Western Isles) of Scotland.
|
E552371
|
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: HS | Statement: [Askernish, postcodeArea, HS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HS Context triple: [Askernish, postcodeArea, HS]
-
A.
HS
HS is an internationally standardized system of names and numbers used to classify traded products for customs and statistical purposes.
-
B.
SHS
SHS is the abbreviation commonly used for the Florida State Highway System, the network of state-maintained roads in Florida.
-
C.
SHS
SHS is the commonly used abbreviation for the Shanghai Sharks, a professional basketball team based in Shanghai, China.
-
D.
HSC
HSC is the abbreviation for the Harmonized System Committee, the international body responsible for overseeing and updating the Harmonized Commodity Description and Coding System used in global trade.
-
E.
HSC
HSC is the three-letter station code used to identify High Street Kensington Underground station on the London Underground network.
- 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: HS Triple: [Askernish, postcodeArea, HS]
Generated description
HS is the postcode area covering the Outer Hebrides (Western Isles) of Scotland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HS Target entity description: HS is the postcode area covering the Outer Hebrides (Western Isles) of Scotland.
-
A.
HS
HS is an internationally standardized system of names and numbers used to classify traded products for customs and statistical purposes.
-
B.
SHS
SHS is the abbreviation commonly used for the Florida State Highway System, the network of state-maintained roads in Florida.
-
C.
SHS
SHS is the commonly used abbreviation for the Shanghai Sharks, a professional basketball team based in Shanghai, China.
-
D.
HSC
HSC is the abbreviation for the Harmonized System Committee, the international body responsible for overseeing and updating the Harmonized Commodity Description and Coding System used in global trade.
-
E.
HSC
HSC is the three-letter station code used to identify High Street Kensington Underground station on the London Underground network.
- 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_69c00857439c819095950754176aa58a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c036b45bec81908a13f39bbc181a59 |
completed | March 22, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b14c2ff081908243988d5815be6d |
completed | March 23, 2026, 3:19 a.m. |
| NEDg | Description generation | batch_69c0b1fabe448190be7d93b1f8c17c2a |
completed | March 23, 2026, 3:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0b29d6048819086c4d4cd01c64a51 |
completed | March 23, 2026, 3:25 a.m. |
Created at: March 22, 2026, 3:58 p.m.