Triple
T6675589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warren County, New York |
E151842
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Town of Horicon |
E220457
|
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 Horicon | Statement: [Warren County, New York, contains, Town of Horicon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Town of Horicon Context triple: [Warren County, New York, contains, Town of Horicon]
-
A.
Horicon, New York
chosen
Horicon, New York is a small rural town in the Adirondack region known for its forests, lakes, and outdoor recreation.
-
B.
Short Point
Short Point is a popular coastal lookout and surf beach area in Merimbula, New South Wales, known for its scenic ocean views and whale-watching opportunities.
-
C.
Bayfield
Bayfield is a residential suburb of the historic town of Chepstow in Monmouthshire, Wales.
-
D.
Mukwonago, Wisconsin
Mukwonago, Wisconsin is a village in Waukesha County known for its small-town character, proximity to the Milwaukee metropolitan area, and access to nearby lakes, parks, and natural waterways.
-
E.
Hartland
Hartland is a small rural town in northwestern Connecticut known for its forests, reservoirs, and low population density.
- 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_69c687f830bc81909eb8b04dbb8450b1 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0f3021481908c2599349eb6ea07 |
completed | March 27, 2026, 4:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7a30b7481908c36ff9035f62731 |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 2:03 p.m.