Triple
T3265062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bromley and Chislehurst |
E68505
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Mottingham |
E329045
|
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: Mottingham | Statement: [Bromley and Chislehurst, contains, Mottingham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mottingham Context triple: [Bromley and Chislehurst, contains, Mottingham]
-
A.
Mottingham
chosen
Mottingham is a suburban district in southeast London, England, known for its residential character and green spaces.
-
B.
Mettingham
Mettingham is a small rural village and civil parish in the English county of Suffolk, known for its historic moated site of Mettingham Castle.
-
C.
Wilcote
Wilcote is a small rural village in the district of West Oxfordshire in Oxfordshire, England.
-
D.
Portchester
Portchester is a village in Hampshire, England, known for its historic Roman fort and as the birthplace of author Neil Gaiman.
-
E.
Mill Hill
Mill Hill is a suburban area in the London Borough of Barnet, known for its residential character, green spaces, and local schools.
- 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_69ad8590444081909e8107a8aeef3a23 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafcb2da08190a7f4fefdfe6d0098 |
completed | March 8, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28ee82a78819082582a24bac97f44 |
completed | March 12, 2026, 10:01 a.m. |
Created at: March 8, 2026, 3:09 p.m.