Triple
T12036547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Antonio–Austin |
E286553
|
entity |
| Predicate | containsUrbanArea |
P11388
|
FINISHED |
| Object | Seguin |
E422421
|
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: Seguin | Statement: [San Antonio–Austin, containsUrbanArea, Seguin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seguin Context triple: [San Antonio–Austin, containsUrbanArea, Seguin]
-
A.
Seguin
chosen
Seguin is a small historic city in south-central Texas known for its pecan industry and preserved 19th-century architecture.
-
B.
Raful
Raful is the nickname of Rafael Eitan, a prominent Israeli general and politician who served as Chief of Staff of the Israel Defense Forces.
-
C.
Gallegos
Gallegos is a Spanish-language surname most notably associated with Venezuelan novelist and former president Rómulo Gallegos.
-
D.
Romo
Romo is a surname most prominently associated with former Dallas Cowboys quarterback and current NFL broadcaster Tony Romo.
-
E.
Anthony Calvillo
Anthony Calvillo is a record-setting former Canadian Football League quarterback widely regarded as one of the greatest players in CFL history.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90408cbf0819093270c9833ef149a |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d7d453c8190a27c5feca8f38991 |
completed | May 1, 2026, 12:33 p.m. |
Created at: April 8, 2026, 9:47 p.m.