Triple
T5453616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westhoughton |
E122425
|
entity |
| Predicate | hasSuburb |
P747
|
FINISHED |
| Object |
Wingates
Wingates is a suburban area within the town of Westhoughton in Greater Manchester, England.
|
E520754
|
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: Wingates | Statement: [Westhoughton, hasSuburb, Wingates]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wingates Context triple: [Westhoughton, hasSuburb, Wingates]
-
A.
Welch
Welch is a small city in southern West Virginia known historically as a coal-mining community and the county seat of McDowell County.
-
B.
WINGO
WINGO is the radio callsign used by Wingo, a low-cost Colombian airline operating domestic and international flights in Latin America.
-
C.
Hackett
Hackett is the middle name of David H. Souter, a former Associate Justice of the United States Supreme Court.
-
D.
Hackett
Hackett is a surname of English and Irish origin borne by various notable individuals across fields such as literature, sports, and entertainment.
-
E.
Wight and Wight
Wight and Wight was a prominent early-20th-century American architectural firm based in Kansas City, known for its monumental Neoclassical and Art Deco public buildings.
- 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: Wingates Triple: [Westhoughton, hasSuburb, Wingates]
Generated description
Wingates is a suburban area within the town of Westhoughton in Greater Manchester, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wingates Target entity description: Wingates is a suburban area within the town of Westhoughton in Greater Manchester, England.
-
A.
Welch
Welch is a small city in southern West Virginia known historically as a coal-mining community and the county seat of McDowell County.
-
B.
WINGO
WINGO is the radio callsign used by Wingo, a low-cost Colombian airline operating domestic and international flights in Latin America.
-
C.
Hackett
Hackett is the middle name of David H. Souter, a former Associate Justice of the United States Supreme Court.
-
D.
Hackett
Hackett is a surname of English and Irish origin borne by various notable individuals across fields such as literature, sports, and entertainment.
-
E.
Wight and Wight
Wight and Wight was a prominent early-20th-century American architectural firm based in Kansas City, known for its monumental Neoclassical and Art Deco public buildings.
- 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_69bd46424248819085282ddf50a565f3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91e170f48190b47419b5e2ff71a4 |
completed | March 20, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf4140248081908c7f42b91579a837 |
completed | March 22, 2026, 1:09 a.m. |
| NEDg | Description generation | batch_69bf41dd96448190973b7241df5dbb24 |
completed | March 22, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf42b97d40819087a98c1cc58bb964 |
completed | March 22, 2026, 1:15 a.m. |
Created at: March 20, 2026, 2:08 p.m.