Triple
T36320544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Deer, Texas |
E894319
|
entity |
| Predicate | isInNorthernTexas |
P101672
|
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: [White Deer, Texas, isInNorthernTexas, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInNorthernTexas Context triple: [White Deer, Texas, isInNorthernTexas, true]
-
A.
isInNorthTexasRegion
chosen
Indicates that an entity is located within the geographic area defined as the North Texas region.
-
B.
isInNorthCentralPartOf
Indicates that one entity is located within the north-central region of another entity.
-
C.
isInSouthernTier
Indicates that one entity is located within the geographic region known as the Southern Tier relative to a larger area or jurisdiction.
-
D.
isInNorthernMichigan
Indicates that the subject is located within the geographic region commonly referred to as Northern Michigan.
-
E.
isInNorthernCalifornia
Indicates that an entity is located within the geographic region commonly referred to as Northern California.
- F. None of above.
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_69f76e4d1a788190a6ab6ccca28547a7 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7ba6d06f48190a71b5a2f19e2232f |
completed | May 3, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.