Triple
T18011734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hockley railway station |
E430900
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Hockley |
—
|
NE NERFINISHED |
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: Hockley | Statement: [Hockley railway station, locatedIn, Hockley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hockley Context triple: [Hockley railway station, locatedIn, Hockley]
-
A.
Hockley
chosen
Hockley is a village in Essex, England, known for its residential character and rail links to London and Southend.
-
B.
Hockley
Hockley is a vibrant, historic district in Nottingham, England, known for its independent shops, bars, and creative cultural scene.
-
C.
Holmer Green
Holmer Green is a village in Buckinghamshire, England, situated within the Chiltern Hills and functioning largely as a residential commuter community.
-
D.
Hendon
Hendon is an English surname most notably associated with the fictional character Miles Hendon from Mark Twain’s novel "The Prince and the Pauper."
-
E.
Hendon
Hendon is a district of Sunderland in Tyne and Wear, England, known historically for its shipbuilding and industrial heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b51fc108819089e6c130a89811bc |
completed | April 19, 2026, 10:57 a.m. |
Created at: April 10, 2026, 10:24 a.m.