Triple
T16958795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bahay na bato |
E411373
|
entity |
| Predicate | typicalLocation |
P3231
|
FINISHED |
| Object | Taal, Batangas |
E101546
|
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: Taal, Batangas | Statement: [Bahay na bato, typicalLocation, Taal, Batangas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taal, Batangas Context triple: [Bahay na bato, typicalLocation, Taal, Batangas]
-
A.
Taal
Taal is a 1999 Indian musical romantic drama film renowned for its acclaimed soundtrack composed by A. R. Rahman.
-
B.
Taal Lake
chosen
Taal Lake is a large volcanic lake in the Philippines known for containing Taal Volcano, one of the country’s most active and picturesque volcanoes.
-
C.
Calatagan
Calatagan is a coastal municipality in the province of Batangas in the Philippines, known for its beaches, diving spots, and historical sites.
-
D.
Tinio
Tinio is a Filipino surname most notably associated with Manuel Tinio, a prominent general of the Philippine Revolution and early 20th-century political figure.
-
E.
Maljamar
Maljamar is a small unincorporated community in southeastern New Mexico known historically for its oil and gas activity.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d01e420881909be1d93d7d6772fd |
completed | April 18, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d468f5048190aa43b212ec7a7306 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:31 a.m.