Triple
T14140409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sholing |
E350406
|
entity |
| Predicate | nearbyArea |
P2064
|
FINISHED |
| Object | Woolston |
E359706
|
NE FINISHED |
How this triple was built (2 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: Woolston | Statement: [Sholing, nearbyArea, Woolston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woolston Context triple: [Sholing, nearbyArea, Woolston]
-
A.
Woolston
chosen
Woolston is a district of Southampton in Hampshire, England, historically known for its shipbuilding and marine engineering industries.
-
B.
Wollescote
Wollescote is a suburban area of Stourbridge in the West Midlands, England, known for its residential character and proximity to local parks and green spaces.
-
C.
Worston
Worston is a small rural village and civil parish in Lancashire, England, situated within the Ribble Valley district.
-
D.
Waddon
Waddon is a suburban area in south London, England, known for its residential character, local shopping streets, and proximity to Croydon town centre.
-
E.
Woolton
Woolton is a suburban district of Liverpool, England, known for its historic village character and associations with The Beatles.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6111a36081909beff35c88a56960 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d043860819099526cbae1b1ef18 |
completed | May 8, 2026, 1:31 a.m. |
Created at: April 10, 2026, 12:45 a.m.