Triple
T15485217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Van, Texas |
E377028
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Van Zandt County |
E525874
|
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: Van Zandt County | Statement: [Van, Texas, county, Van Zandt County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Van Zandt County Context triple: [Van, Texas, county, Van Zandt County]
-
A.
Van Zandt County
chosen
Van Zandt County is a rural county in northeastern Texas known for its agricultural heritage and small-town communities.
-
B.
Windeyer County
Windeyer County is a cadastral division in New South Wales, Australia, used for land administration and property title purposes.
-
C.
Cottle County
Cottle County is a sparsely populated rural county in north-central Texas known for its ranching, agriculture, and small-town communities.
-
D.
Parmer County
Parmer County is a rural county in the western Texas Panhandle known for its agriculture-based economy and small, close-knit communities.
-
E.
Tyrrell County
Tyrrell County is a sparsely populated rural county in eastern North Carolina known for its extensive wetlands, wildlife habitats, and location along the Albemarle Sound.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f8f71a08190a440ff19dcc65312 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff78dab488190a89b9eb4f648b36c |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 3:46 a.m.