Triple
T13073454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capul |
E329510
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object | San Roque |
E900342
|
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 Roque | Statement: [Capul, hasBarangay, San Roque]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Roque Context triple: [Capul, hasBarangay, San Roque]
-
A.
San Roque
San Roque is a coastal municipality in the province of Northern Samar in the Philippines, known for its fishing communities and rural agricultural economy.
-
B.
San Roque
chosen
San Roque is a coastal barangay of Cavite City in the Philippines known for its residential communities and proximity to Manila Bay.
-
C.
San Roque
San Roque is a historic municipality in the province of Cádiz, Andalusia, Spain, known for its proximity to Gibraltar and its role in the region’s military and cultural heritage.
-
D.
San Roque
San Roque is a municipality in the Magdalena Medio region of Antioquia, Colombia, known for its agricultural activities and role in regional commerce.
-
E.
San Pedrito
San Pedrito is a subway station in Buenos Aires that serves as the western terminus of the city's historic Line A.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d981160e388190bab942a2ded2903e |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d606ac6481908d18a288d5eed472 |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 9 p.m.