Triple
T13099924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colwell Bay |
E310690
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Colwell |
E11474
|
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: Colwell | Statement: [Colwell Bay, hasNearbySettlement, Colwell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colwell Context triple: [Colwell Bay, hasNearbySettlement, Colwell]
-
A.
Colwell
chosen
Colwell is a surname most notably associated with Rita R. Colwell, an influential American microbiologist and former director of the U.S. National Science Foundation.
-
B.
Redfield
Redfield is a surname of English origin borne by various notable individuals across fields such as politics, science, and the arts.
-
C.
Ebersole
Ebersole is a surname most notably associated with American actress and singer Christine Ebersole.
-
D.
Stowell
Stowell is an English surname notably borne by Baroness Stowell of Beeston, a British Conservative politician and life peer.
-
E.
Kelshall
Kelshall is a small rural village in the North Hertfordshire district of England, characterized by its historic church and agricultural surroundings.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981500d34819097037b3c3c33627b |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d61bcfe88190866b4330d1669602 |
completed | May 3, 2026, 4:59 a.m. |
Created at: April 9, 2026, 9:04 p.m.