Triple
T8168765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Saints Church, Lamberhurst |
E190761
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Lamberhurst |
E190761
|
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: Lamberhurst | Statement: [All Saints Church, Lamberhurst, locatedIn, Lamberhurst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lamberhurst Context triple: [All Saints Church, Lamberhurst, locatedIn, Lamberhurst]
-
A.
Lamberhurst
chosen
Lamberhurst is a rural village in Kent, England, known for its historic buildings, vineyards, and scenic countryside within the High Weald Area of Outstanding Natural Beauty.
-
B.
Herne Hill
Herne Hill is a residential district in South London known for its Victorian architecture, local markets, and proximity to Brockwell Park.
-
C.
Warlingham
Warlingham is a village and civil parish in Surrey, England, situated on the North Downs and functioning largely as a commuter settlement for London.
-
D.
Edgemead
Edgemead is a planned residential suburb in the northern part of Cape Town, South Africa, known for its garden-city layout and family-oriented community.
-
E.
Colliers Wood
Colliers Wood is a residential and commercial district in southwest London known for its shopping facilities, green spaces, and Underground station on the Northern line.
- 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_69ca82c0ef14819083713f4473dd847c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb466abfe48190b4eb2f23b1e28668 |
completed | March 31, 2026, 3:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd05abe248190a2dc2dbb27255a87 |
completed | April 3, 2026, 2:36 p.m. |
Created at: March 30, 2026, 5:39 p.m.