Triple
T8221523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Mary the Virgin Churchyard, Chilton |
E192073
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Chilton |
E324539
|
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: Chilton | Statement: [St Mary the Virgin Churchyard, Chilton, locatedIn, Chilton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chilton Context triple: [St Mary the Virgin Churchyard, Chilton, locatedIn, Chilton]
-
A.
Chilton
chosen
Chilton is a small village and civil parish located within the county of Suffolk in eastern England.
-
B.
Chilton
Chilton is a surname of English origin borne by various notable individuals across fields such as the military, politics, and the arts.
-
C.
Hailwood
Hailwood is the surname of legendary British motorcycle racer Mike Hailwood, widely regarded as one of the greatest riders in the history of the sport.
-
D.
Chas
Chas is a common diminutive or nickname for the given name Charles.
-
E.
Hillman
Hillman is a surname of English and Ashkenazic Jewish origin borne by various notable individuals across politics, labor leadership, academia, and the arts.
- 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_69ca82c9a8ac81908b011c38698456e4 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb77c9680081909000fde3c9ae83ea |
completed | March 31, 2026, 7:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccee01ed9c819086bfc35e89f7bad8 |
completed | April 1, 2026, 10:05 a.m. |
Created at: March 30, 2026, 5:45 p.m.