Triple
T13565931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Sybil Crawley |
E324033
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Crawley |
E95957
|
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: Crawley | Statement: [Lady Sybil Crawley, familyName, Crawley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crawley Context triple: [Lady Sybil Crawley, familyName, Crawley]
-
A.
Crawley
chosen
Crawley is a large town in West Sussex, England, best known as the urban center serving London Gatwick Airport and a major hub for transport and commerce in the region.
-
B.
Crawley
Crawley is a small rural village in the West Oxfordshire district of Oxfordshire, England, known for its traditional Cotswold stone buildings and countryside setting.
-
C.
Darenth
Darenth is a village and civil parish in the Borough of Dartford in Kent, England, known for its rural character and proximity to the River Darent.
-
D.
Burgess Hill
Burgess Hill is a town in southeastern England known as a commuter hub with residential areas and light industry, situated within the county of West Sussex.
-
E.
Purley
Purley is a suburban town in South London known for its residential character and location within the London Borough of Croydon.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb00cecd48190a9a2caff3d424817 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bb3d77c8190a7af2ee7e9b6748a |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:48 p.m.