Triple
T18271918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windom, Texas |
E437634
|
entity |
| Predicate | hasOfficialName |
P66
|
FINISHED |
| Object | Windom, Texas |
—
|
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: Windom, Texas | Statement: [Windom, Texas, hasOfficialName, Windom, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Windom, Texas Context triple: [Windom, Texas, hasOfficialName, Windom, Texas]
-
A.
Windom, Texas
chosen
Windom, Texas is a small rural community located in Fannin County in northeastern Texas.
-
B.
Rockett, Texas
Rockett, Texas is a small unincorporated rural community located in Ellis County in the north-central region of the state.
-
C.
Wildorado, Texas
Wildorado, Texas is a small unincorporated rural community in the Texas Panhandle, located west of Amarillo along Interstate 40.
-
D.
Weatherford, Texas
Weatherford, Texas is a historic North Texas city in the Dallas–Fort Worth metropolitan area known for its Western heritage, peach industry, and small-town charm.
-
E.
Cottonwood, Texas
Cottonwood, Texas is a small rural community located within Kaufman County in the state of Texas.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5004f0e7c8190a7206e193012a2d3 |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 10:34 a.m.