Triple
T5938762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arnold |
E132110
|
entity |
| Predicate | hasNearbyArea |
P4647
|
FINISHED |
| Object | Carlton |
E137035
|
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: Carlton | Statement: [Arnold, hasNearbyArea, Carlton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carlton Context triple: [Arnold, hasNearbyArea, Carlton]
-
A.
Carlton
Carlton is the given name of Carlton Fisk, a Hall of Fame Major League Baseball catcher best known for his long career with the Boston Red Sox and Chicago White Sox.
-
B.
Carlton
chosen
Carlton is a town in Nottinghamshire, England, situated just east of the city of Nottingham.
-
C.
Carlton
Carlton is a village and civil parish located within the English county of Suffolk.
-
D.
Pakenham
Pakenham is a rural village and civil parish in Suffolk, England, known for its historic watermill and windmill.
-
E.
Parramatta
Parramatta is a major commercial and cultural centre in Western Sydney, Australia, known for its historic sites, diverse community, and role as a secondary CBD of the Sydney metropolitan area.
- 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_69c0085c55dc8190aa90e242c956e2fa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c038edd1b88190a608f9bf8a8090cf |
completed | March 22, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c0748c888190b41326eddc76db62 |
completed | March 23, 2026, 4:24 a.m. |
Created at: March 22, 2026, 4:01 p.m.