Triple
T2506143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolverhampton |
E52585
|
entity |
| Predicate | hasPostcodeArea |
P920
|
FINISHED |
| Object |
WV
WV is the postcode area covering Wolverhampton and surrounding parts of the West Midlands in England.
|
E271917
|
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: WV | Statement: [Wolverhampton, hasPostcodeArea, WV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WV Context triple: [Wolverhampton, hasPostcodeArea, WV]
-
A.
West Virginia
West Virginia is a landlocked, mountainous U.S. state in the Appalachian region, known for its coal mining history, outdoor recreation, and distinct cultural heritage.
-
B.
Ada, West Virginia
Ada, West Virginia is a small unincorporated community located in Mercer County in the southern part of the state.
-
C.
Wyoming
Wyoming is a sparsely populated U.S. state known for its vast plains, the Rocky Mountains, and iconic national parks like Yellowstone and Grand Teton.
-
D.
Rock, West Virginia
Rock, West Virginia is a small unincorporated community in Mercer County known for its rural Appalachian setting in the southern part of the state.
-
E.
WA
WA is a UK postcode area covering parts of Warrington and surrounding towns in northwest England.
- 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: WV Triple: [Wolverhampton, hasPostcodeArea, WV]
Generated description
WV is the postcode area covering Wolverhampton and surrounding parts of the West Midlands in England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WV Target entity description: WV is the postcode area covering Wolverhampton and surrounding parts of the West Midlands in England.
-
A.
West Virginia
West Virginia is a landlocked, mountainous U.S. state in the Appalachian region, known for its coal mining history, outdoor recreation, and distinct cultural heritage.
-
B.
Ada, West Virginia
Ada, West Virginia is a small unincorporated community located in Mercer County in the southern part of the state.
-
C.
Wyoming
Wyoming is a sparsely populated U.S. state known for its vast plains, the Rocky Mountains, and iconic national parks like Yellowstone and Grand Teton.
-
D.
Rock, West Virginia
Rock, West Virginia is a small unincorporated community in Mercer County known for its rural Appalachian setting in the southern part of the state.
-
E.
WA
WA is a UK postcode area covering parts of Warrington and surrounding towns in northwest England.
- 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1cfeb408190ba8107296310dbfc |
completed | March 7, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1fa7dbb88190815087416b207b54 |
completed | March 9, 2026, 7:29 p.m. |
| NEDg | Description generation | batch_69af203f7ca08190ba781891bd879192 |
completed | March 9, 2026, 7:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af20cd13a88190a35bc1b74ad088ef |
completed | March 9, 2026, 7:34 p.m. |
Created at: March 6, 2026, 9:46 p.m.