Triple
T6088872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town of Veteran, New York |
E135707
|
entity |
| Predicate | isInSouthernTier |
P68046
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Town of Veteran, New York, isInSouthernTier, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInSouthernTier Context triple: [Town of Veteran, New York, isInSouthernTier, true]
-
A.
isInUnitedStatesSouth
Indicates that something is located within the southern region of the United States.
-
B.
isInNorthCentralPartOf
Indicates that one entity is located within the north-central region of another entity.
-
C.
isSouthernBranchOf
Indicates that one entity functions as the southern subdivision or regional branch of another, larger organization or structure.
-
D.
southTerminusRegion
Indicates that a given region serves as the southern endpoint or terminus of a specified route, feature, or entity.
-
E.
isInNorthernOrSouthernCalifornia
Indicates that an entity is located within either the northern or southern region of California.
- F. None of above. chosen
Provenance (4 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057a6f7588190b265d6005fbaf6b3 |
completed | March 22, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69c049f3b1ec8190bea67a7bec6442a5 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8e3f2c8190be459ca02f9b315a |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:12 p.m.