Triple
T4930012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Country |
E110670
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Oldbury |
E440576
|
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: Oldbury | Statement: [Black Country, contains, Oldbury]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oldbury Context triple: [Black Country, contains, Oldbury]
-
A.
Oldbury
chosen
Oldbury is a town in the West Midlands of England that serves as the administrative centre of the Metropolitan Borough of Sandwell.
-
B.
Carbury
Carbury is a fictional English surname most notably associated with characters in Anthony Trollope’s novel "The Way We Live Now."
-
C.
Burghfield
Burghfield is a village and civil parish in Berkshire, England, known for its rural character and proximity to Reading.
-
D.
Hordley
Hordley is a small rural settlement located in the parish of St. Thomas in the East, Jamaica.
-
E.
Gunnersbury
Gunnersbury is a district in West London, England, known for its residential areas, parks, and transport links, including proximity to Gunnersbury Park and several major roads and rail services.
- 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_69bd4415190c8190817bee7ec9f9f944 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd703a0fa48190809b6ac3f2731349 |
completed | March 20, 2026, 4:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be77af13308190b99f3aca0cb44c61 |
completed | March 21, 2026, 10:49 a.m. |
Created at: March 20, 2026, 1:30 p.m.