Triple
T19349367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellis County |
E483971
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Ovilla |
—
|
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: Ovilla | Statement: [Ellis County, containsSettlement, Ovilla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ovilla Context triple: [Ellis County, containsSettlement, Ovilla]
-
A.
Ovilla
chosen
Ovilla is a small suburban city in North Texas that forms part of the greater Dallas–Fort Worth metropolitan area.
-
B.
Villanueva
Villanueva is a municipality and town located in the Bolívar Department of northern Colombia.
-
C.
Villanueva
Villanueva is a municipality and town in northwestern Nicaragua, located within the Chinandega Department.
-
D.
Villanueva
Villanueva is a municipality in Colombia’s Casanare Department, known for its llanero culture and cattle-ranching traditions on the eastern plains.
-
E.
Villanueva
Villanueva is a coastal municipality in the province of Misamis Oriental in the Philippines, known for its industrial facilities and growing local economy.
- 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.