Triple
T20381859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Deanery, Chichester |
E497851
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Chichester |
—
|
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: Chichester | Statement: [The Deanery, Chichester, locatedIn, Chichester]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chichester Context triple: [The Deanery, Chichester, locatedIn, Chichester]
-
A.
CHICHESTER
chosen
Chichester is a historic cathedral city in West Sussex, England, known for its Roman origins and well-preserved medieval architecture.
-
B.
Havant
Havant is a market town and borough in south-east England, situated between Portsmouth and Chichester near the south coast.
-
C.
Fareham
Fareham is a market town in southern England situated between the cities of Southampton and Portsmouth.
-
D.
Worthing
Worthing is a small city in Lincoln County, South Dakota, known as a residential community within the Sioux Falls metropolitan area.
-
E.
Worthing
Worthing is a large seaside town and resort on the south coast of England in West Sussex.
- 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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678b0ee708190bdbe4aab28a61525 |
completed | April 20, 2026, 7:04 p.m. |
Created at: April 16, 2026, 11:27 a.m.