Triple
T8701004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Abington |
E206529
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Great Abington |
E109880
|
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: Great Abington | Statement: [Little Abington, near, Great Abington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Great Abington Context triple: [Little Abington, near, Great Abington]
-
A.
Great Abington
chosen
Great Abington is a village in South Cambridgeshire, England, known for hosting the science and business campus Granta Park and its proximity to Cambridge.
-
B.
Norwood Ridge
Norwood Ridge is a prominent elevated landform in south London that provides the high ground on which areas like Upper Norwood are situated.
-
C.
Belden Point
Belden Point is a historic waterfront area at the southern tip of City Island in the Bronx, known for its views of the Long Island Sound and maritime character.
-
D.
Woodbridge
Woodbridge is a historic market town in Suffolk, England, situated on the River Deben and known for its maritime heritage and proximity to the Sutton Hoo archaeological site.
-
E.
Woodbridge
Woodbridge is a suburban community within the city of Vaughan, Ontario, known for its residential neighborhoods, commercial areas, and strong Italian-Canadian presence.
- 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_69ca83555b6c8190abe930dd397e863b |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58b27bd48190a5f76111ee657553 |
completed | March 31, 2026, 11:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf4287aa048190ba0263623d02b2ef |
completed | April 3, 2026, 4:31 a.m. |
Created at: March 30, 2026, 6:34 p.m.