Triple
T1190577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Prairie |
E25348
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Ellis County |
E22125
|
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: Ellis County | Statement: [Grand Prairie, partOf, Ellis County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ellis County Context triple: [Grand Prairie, partOf, Ellis County]
-
A.
Hastings County
Hastings County is a large, predominantly rural county in eastern Ontario, Canada, known for its forests, lakes, and outdoor recreation opportunities.
-
B.
Callaway County
Callaway County is a county in central Missouri known for its seat in Fulton and its mix of small-town communities, agriculture, and historical sites.
-
C.
McLennan County
McLennan County is a county in central Texas best known for encompassing the city of Waco, home to Baylor University.
-
D.
Bullock County
Bullock County is a rural county in southeastern Alabama known for its agricultural economy and historic small towns.
-
E.
Ellis County, Texas
chosen
Ellis County, Texas is a county in north-central Texas that forms part of the Dallas–Fort Worth metropolitan area and includes the city of Waxahachie as its county seat.
- 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_69a49427d98881908646d6c63b8cea1e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd58d8d88190b8d9c9c9de7f4e97 |
completed | March 1, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0a9afd688190a69c79a0b6c5e872 |
completed | March 8, 2026, 11:47 p.m. |
Created at: March 1, 2026, 7:45 p.m.