Triple
T22934446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isnag-Isneg |
E569539
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object | Calanasan Isneg |
—
|
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: Calanasan Isneg | Statement: [Isnag-Isneg, hasDialects, Calanasan Isneg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calanasan Isneg Context triple: [Isnag-Isneg, hasDialects, Calanasan Isneg]
-
A.
Calanasan
Calanasan is a remote, landlocked municipality in the mountainous province of Apayao in the northern Philippines, known for its rugged landscapes and indigenous communities.
-
B.
Calanasan
chosen
Calanasan is a dialect of the Isnag language spoken by indigenous communities in the northern Philippines.
-
C.
Isnag-Isneg
Isnag-Isneg is an Austronesian language spoken by the Isnag (Isneg) people of northern Luzon in the Philippines.
-
D.
Camalaniugan
Camalaniugan is a municipality in the province of Cagayan in the Philippines, known for its historic churches and riverside setting along the Cagayan River.
-
E.
Kalamansig
Kalamansig is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its fishing industry and diverse indigenous communities.
- 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_69e24590862c8190858f180ad302adab |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18134484c8190b7311606c17d058d |
completed | April 29, 2026, 3:55 a.m. |
Created at: April 17, 2026, 3:44 p.m.