Triple
T6621571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Brides Bay |
E149685
|
entity |
| Predicate | hasSettlementOnShore |
P16159
|
FINISHED |
| Object | Dale |
E540247
|
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: Dale | Statement: [St Brides Bay, hasSettlementOnShore, Dale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dale Context triple: [St Brides Bay, hasSettlementOnShore, Dale]
-
A.
Dale
Dale is one half of the classic chipmunk duo Chip 'n' Dale from Disney's Mickey Mouse universe, known for his goofy, fun-loving personality and mischief.
-
B.
Dale
Dale is a rebuilt human city in northern Middle-earth, located near the Lonely Mountain, that serves as a key setting in J.R.R. Tolkien’s legendarium and its film adaptations.
-
C.
Dale
chosen
Dale is a coastal village in Pembrokeshire, Wales, known for its sheltered bay, sailing, and watersports.
-
D.
Dale
Dale is the given name of legendary American NASCAR driver Dale Earnhardt, one of the most iconic figures in stock car racing history.
-
E.
Darrell
Darrell is the central protagonist of the film "In the Mix," around whom the story’s main events and conflicts revolve.
- 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_69c687ed8a9c81908bb671717cb192ef |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af7ccaa481908b383b4fd671fa78 |
completed | March 27, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e448b00081908b336a2bd7fb3820 |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:58 p.m.