Triple
T9445060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weed Beach |
E227742
|
entity |
| Predicate | operatedBy |
P86
|
FINISHED |
| Object | Town of Darien |
E767721
|
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: Town of Darien | Statement: [Weed Beach, operatedBy, Town of Darien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Town of Darien Context triple: [Weed Beach, operatedBy, Town of Darien]
-
A.
Town of Darien
chosen
The Town of Darien is a coastal municipality in Fairfield County, Connecticut, known for its affluent residential character, public beaches, and location along Long Island Sound.
-
B.
Village of Darien
The Village of Darien is a suburban municipality in DuPage County, Illinois, located in the Chicago metropolitan area.
-
C.
Town of Willing
The Town of Willing is a small rural municipality in southwestern New York State known for its scenic landscapes and quiet, sparsely populated community.
-
D.
Sea Mills
Sea Mills is a suburban riverside area and railway station in Bristol, England, known for its residential character and access to local rail services.
-
E.
Machias
Machias is a small coastal town in eastern Maine known for its historic role in the American Revolution and its wild blueberry industry.
- 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f32aee88190a43573f97fa1e49d |
completed | April 1, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d110669ca48190bbaf772e2e6aa457 |
completed | April 4, 2026, 1:21 p.m. |
Created at: March 30, 2026, 7:51 p.m.