Triple
T1613674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Village of Darien |
E34664
|
entity |
| Predicate | hasOfficialName |
P66
|
FINISHED |
| Object | Village of Darien |
E34664
|
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: Village of Darien | Statement: [Village of Darien, hasOfficialName, Village of Darien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Village of Darien Context triple: [Village of Darien, hasOfficialName, Village of Darien]
-
A.
Village of Darien
chosen
The Village of Darien is a suburban municipality in DuPage County, Illinois, located in the Chicago metropolitan area.
-
B.
Dennis Village
Dennis Village is a historic seaside village and one of the five main villages that make up the town of Dennis on Cape Cod, Massachusetts.
-
C.
Shingletown
Shingletown is a small rural community in Northern California known for its forested setting near Lassen Volcanic National Park.
-
D.
Garrisonville
Garrisonville is an unincorporated community and suburban area in Stafford County, Virginia, located along the I-95 corridor south of Washington, D.C.
-
E.
Crescent Town
Crescent Town is a densely populated, multicultural residential neighbourhood in Toronto, Ontario, known for its high-rise apartment complexes and proximity to public transit.
- 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_69a885ffc5ec819091afa325d5f9611c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9098e245c8190b0169b648434aa49 |
completed | March 5, 2026, 4:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad51ca2bc48190abb83f4d84782334 |
completed | March 8, 2026, 10:39 a.m. |
Created at: March 4, 2026, 7:28 p.m.