Triple
T13073452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capul |
E329510
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object | San Isidro |
E329511
|
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 Isidro | Statement: [Capul, hasBarangay, San Isidro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Isidro Context triple: [Capul, hasBarangay, San Isidro]
-
A.
San Isidro
San Isidro is a rural municipality in the province of Davao del Norte in the Philippines, known for its agricultural economy and small-town character.
-
B.
San Isidro
San Isidro is a municipality located in the Morazán Department of northeastern El Salvador, known for its rural character and mountainous surroundings.
-
C.
San Isidro
San Isidro was a Spanish warship that took part in the 1797 naval actions off Cape St. Vincent during the French Revolutionary Wars.
-
D.
San Isidro
chosen
San Isidro is a coastal municipality in the province of Northern Samar in the Philippines, known for its rural communities and fishing-based local economy.
-
E.
San Isidro
San Isidro is an affluent historic city and suburban district in the Greater Buenos Aires area, known for its colonial architecture, racetrack, and riverside setting along the Río de la Plata.
- 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.