Triple
T13676605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pevensey |
E327893
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Hailsham |
E137724
|
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: Hailsham | Statement: [Pevensey, near, Hailsham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hailsham Context triple: [Pevensey, near, Hailsham]
-
A.
Hailsham
chosen
Hailsham is a market town in southeastern England known for its historic center and role as a local commercial hub within East Sussex.
-
B.
Hailsham Pavilion
Hailsham Pavilion is a historic cinema and theatre in Hailsham, East Sussex, known for its restored early-20th-century architecture and community arts programming.
-
C.
Harrow Hill
Harrow Hill is a prominent elevated area in Harrow, London, known for its historic setting and association with the prestigious Harrow School.
-
D.
Bly
Bly is the remote English country estate that serves as the primary setting of Henry James's novella "The Turn of the Screw."
-
E.
Hampton Hill
Hampton Hill is a suburban area in the London Borough of Richmond upon Thames, known for its residential character and proximity to large green spaces.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65c04988190b675e6fb7241e53c |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7943dbf748190b41abfe9d81d1427 |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:53 p.m.