Triple
T19898791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cagayan Province |
E478223
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Sto. Niño |
E288636
|
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: Sto. Niño | Statement: [Cagayan Province, hasMunicipality, Sto. Niño]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sto. Niño Context triple: [Cagayan Province, hasMunicipality, Sto. Niño]
-
A.
Sto. Niño
chosen
Sto. Niño is a rural municipality in the province of South Cotabato in the Philippines, known for its agricultural economy and small-town community character.
-
B.
Ill Niño
Ill Niño is an American Latin-influenced nu metal band known for blending heavy guitar riffs with bilingual lyrics and Latin percussion.
-
C.
El Nino
El Nino is an early ring name used by professional wrestler Rey Mysterio before he gained worldwide fame under his more famous moniker.
-
D.
La Niña
La Niña is the cool phase of the El Niño–Southern Oscillation climate pattern, characterized by unusually cold ocean temperatures in the central and eastern equatorial Pacific and associated shifts in global weather.
-
E.
El Niño
El Niño is a climate pattern characterized by unusually warm sea surface temperatures in the central and eastern tropical Pacific Ocean, which can disrupt weather patterns worldwide.
- 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6593fbb348190afa7acf45af406ed |
completed | April 20, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ea42b8c88190922819539e4b640b |
completed | May 16, 2026, 3:53 a.m. |
Created at: April 10, 2026, 1:52 p.m.