Triple
T14964240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otego, New York |
E373146
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Otego |
E765262
|
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: Otego | Statement: [Otego, New York, hasName, Otego]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Otego Context triple: [Otego, New York, hasName, Otego]
-
A.
Otego
chosen
Otego is a small town and community in Otsego County, New York, known for its rural character and location in the central part of the state.
-
B.
Hotevilla
Hotevilla is a traditional Hopi village in northeastern Arizona known for its strong preservation of Hopi culture and resistance to outside influence.
-
C.
Wisp Resort
Wisp Resort is a four-season mountain resort in western Maryland known for its ski slopes, outdoor recreation, and proximity to Deep Creek Lake.
-
D.
Keystone Resort
Keystone Resort is a major Colorado ski and snowboard destination in the Rocky Mountains, known for its extensive terrain, family-friendly atmosphere, and night skiing.
-
E.
Equinox Resort
Equinox Resort is a historic luxury hotel and spa in Manchester, Vermont, known for its elegant accommodations, mountain setting, and year-round outdoor recreation.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6d0487c8190b7754af8c5014b37 |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bdeec408190893d1db9254da24e |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:40 a.m.