Triple
T19349356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellis County |
E483971
|
entity |
| Predicate | countySeat |
P383
|
FINISHED |
| Object | Waxahachie |
—
|
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: Waxahachie | Statement: [Ellis County, countySeat, Waxahachie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waxahachie Context triple: [Ellis County, countySeat, Waxahachie]
-
A.
Waxahachie
chosen
Waxahachie is a historic city in North Texas known for its Victorian architecture, annual festivals, and role as the county seat of Ellis County.
-
B.
Waxahachie Creek
Waxahachie Creek is a waterway in north-central Texas that lends its name to the nearby city of Waxahachie.
-
C.
Brushy Creek
Brushy Creek is a stream in Central Texas that flows through Williamson County and serves as a local natural and recreational resource.
-
D.
Quapaw
The Quapaw are a Native American people originally from the lower Ohio and Mississippi River valleys, now primarily associated with northeastern Oklahoma.
-
E.
Caney Creek
Caney Creek is a scenic stream and wilderness area in Alabama known for its rugged forested terrain, waterfalls, and hiking opportunities.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6185d54c0819081715ca13a5806b4 |
completed | April 20, 2026, 12:13 p.m. |
Created at: April 10, 2026, 1:34 p.m.