Triple
T20243307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torrey, New York |
E498354
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Town of Torrey |
—
|
NE NERFINISHED |
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 Torrey | Statement: [Torrey, New York, hasName, Town of Torrey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Town of Torrey Context triple: [Torrey, New York, hasName, Town of Torrey]
-
A.
Torrey
chosen
Torrey is a small town located in Yates County in the Finger Lakes region of New York State.
-
B.
Torrey
Torrey is the botanist who formally described the single-leaf pinyon pine species Pinus monophylla.
-
C.
Cedarvale
Cedarvale is a residential neighbourhood in midtown Toronto known for its ravine park system, tree-lined streets, and mix of upscale homes and apartment buildings.
-
D.
Valley Town
Valley Town is a short documentary film directed by Alexander Hammid that portrays life and social conditions in an American industrial community.
-
E.
Hadleyville
Hadleyville is the fictional small Western town in the classic 1952 film "High Noon," where the story’s tense showdown unfolds.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e67170aa248190922fc845d2265ae3 |
completed | April 20, 2026, 6:33 p.m. |
Created at: April 11, 2026, 11:40 p.m.