Triple
T10589766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knockholt railway station |
E249951
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Knockholt |
E249951
|
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: Knockholt | Statement: [Knockholt railway station, locatedNear, Knockholt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Knockholt Context triple: [Knockholt railway station, locatedNear, Knockholt]
-
A.
Knockholt
chosen
Knockholt is a rural village in the London Borough of Bromley, England, known for its countryside setting on the edge of Greater London and Kent.
-
B.
Paddock Wood
Paddock Wood is a small town in Kent, England, known for its agricultural history and role as a local transport and commercial hub.
-
C.
Tangmere
Tangmere is a village in West Sussex, England, best known for its historic RAF airfield and aviation museum.
-
D.
Tidworth
Tidworth is a small garrison town in Wiltshire, England, known for its close association with the British Army and surrounding military installations.
-
E.
Martlesham Heath
Martlesham Heath is a village and residential area in Suffolk, England, known for its planned development and historical links to aviation and telecommunications research.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5277a39f08190848f24752cfa4b8f |
completed | April 7, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b99b3248190b5eac0e99cb73d4b |
completed | April 10, 2026, 7:12 p.m. |
Created at: April 6, 2026, 12:40 p.m.