Triple
T22280822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ursula de Veramendi |
E550724
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Béxar |
—
|
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: Béxar | Statement: [Ursula de Veramendi, region, Béxar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Béxar Context triple: [Ursula de Veramendi, region, Béxar]
-
A.
Correon
Correon is the central protagonist of the fantasy story "Spellbinder," around whom the narrative's magical adventures and conflicts revolve.
-
B.
Bulverde
Bulverde is a small city in the Texas Hill Country known for its semi-rural character and proximity to San Antonio.
-
C.
Nacogdoches, Texas
Nacogdoches, Texas is a historic East Texas city often regarded as the oldest town in the state and known for its early role in Texas history.
-
D.
San Antonio de Béxar
chosen
San Antonio de Béxar was a historic Spanish colonial settlement in present-day Texas that became a key military and political center, later evolving into the modern city of San Antonio.
-
E.
Edinburg
Edinburg is a small rural town in Saratoga County, New York, known for its scenic setting near the Great Sacandaga Lake and the southern Adirondacks.
- 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_69e11e44d538819097c6b8f333af3352 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14eab4f848190b1a8ba70f9fb0581 |
completed | April 29, 2026, 12:19 a.m. |
Created at: April 16, 2026, 8:40 p.m.