Triple
T19331289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quirino Province |
E483499
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Nagtipunan |
—
|
NE NERFINISHED |
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: Nagtipunan | Statement: [Quirino Province, hasMunicipality, Nagtipunan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nagtipunan Context triple: [Quirino Province, hasMunicipality, Nagtipunan]
-
A.
Nagtipunan
chosen
Nagtipunan is a rural municipality in the province of Quirino in the Philippines, known for its mountainous landscapes, rivers, and eco-tourism attractions.
-
B.
Napambana
"Napambana" is a popular Tanzanian Bongo Flava song by singer Zuchu, known for its motivational message and catchy melodic style.
-
C.
Hinunangan
Hinunangan is a coastal municipality in the province of Southern Leyte in the Philippines, known for its beaches and nearby island attractions.
-
D.
Agrabahan
Agrabahan refers to a fictional nationality associated with the inhabitants of Agrabah, the Middle Eastern-inspired city in Disney’s Aladdin universe.
-
E.
Tigayon
Tigayon is a barangay (village-level administrative division) of the municipality of Kalibo in the province of Aklan, Philippines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e616422fa08190bf4bde4312ec7cf3 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 10, 2026, 1:33 p.m.