Triple
T12455496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flixton |
E297644
|
entity |
| Predicate | hasNeighbour |
P5707
|
FINISHED |
| Object | Carrington |
E315173
|
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: Carrington | Statement: [Flixton, hasNeighbour, Carrington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carrington Context triple: [Flixton, hasNeighbour, Carrington]
-
A.
Carrington
Carrington is a surname of English origin borne by various notable individuals across politics, the military, the arts, and other fields.
-
B.
Carrington
chosen
Carrington is a village in Greater Manchester, England, known for its industrial estates and proximity to the Manchester Ship Canal.
-
C.
Carrington
Carrington is a small village and civil parish in Midlothian, Scotland, known for its rural character and historic church.
-
D.
Carson
Carson is a given name most famously associated with American novelist Carson McCullers, known for her works exploring loneliness and the human condition.
-
E.
Carson
Carson is the surname of Rachel Carson, the influential American marine biologist and conservationist whose writings advanced the global environmental movement.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94da2a3cc81908de5a85257627fe2 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f190c788190adceaab8117d52a6 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:56 p.m.