Triple
T15261353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hart |
E364781
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Yateley |
E171670
|
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: Yateley | Statement: [Hart, containsSettlement, Yateley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yateley Context triple: [Hart, containsSettlement, Yateley]
-
A.
Yateley
chosen
Yateley is a small town in northeast Hampshire, England, known for its residential character, local schools, and nearby lakes and heathland.
-
B.
Hartley Wintney
Hartley Wintney is a historic rural village in Hampshire, England, known for its traditional village green, cricket heritage, and period architecture.
-
C.
Grateley
Grateley is a small village in Hampshire, England, known for its rural setting and railway station on the line between London and Salisbury.
-
D.
Orsett
Orsett is a village and civil parish in the borough of Thurrock in Essex, England, known for its historic church and traditional village green.
-
E.
Selsey
Selsey is a coastal town in West Sussex, England, historically notable as the original seat of the Anglo-Saxon bishops of the Kingdom of Sussex before the see moved to Chichester.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084e85a08190b8e63598b9f6a535 |
completed | April 15, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef6fc290819096ef03f8ecae8876 |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:14 a.m.