Triple
T15882896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Quisco |
E385116
|
entity |
| Predicate | provinceCapital |
P16248
|
FINISHED |
| Object | San Antonio |
E414294
|
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: San Antonio | Statement: [El Quisco, provinceCapital, San Antonio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Antonio Context triple: [El Quisco, provinceCapital, San Antonio]
-
A.
San Antonio
San Antonio is a large, historic city in south-central Texas known for the Alamo, the River Walk, and its rich blend of Mexican and Texan culture.
-
B.
San Antonio
San Antonio is a barangay in the municipality of Los Baños in the province of Laguna, Philippines.
-
C.
San Antonio
chosen
San Antonio is a coastal municipality in the province of Northern Samar in the Philippines, known for its island beaches and fishing communities.
-
D.
San Antonio
San Antonio is a barangay (village-level administrative division) within the municipality of Oton in the province of Iloilo, Philippines.
-
E.
San Antonio
San Antonio is a barangay (village-level administrative division) within the municipality of Capul in the Philippines.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156173e248190901641d838ecb40f |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa95466e08190a967114821651e60 |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:51 a.m.