Triple
T22934464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isnag-Isneg |
E569539
|
entity |
| Predicate | linguisticRelation |
P10003
|
FINISHED |
| Object | shares features with Ibanag |
—
|
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: shares features with Ibanag | Statement: [Isnag-Isneg, linguisticRelation, shares features with Ibanag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: shares features with Ibanag Context triple: [Isnag-Isneg, linguisticRelation, shares features with Ibanag]
-
A.
Ibanag language
The Ibanag language is an Austronesian language spoken primarily in the Cagayan Valley region of northern Luzon in the Philippines.
-
B.
Ibanag
chosen
Ibanag is an Austronesian language spoken primarily in the Cagayan Valley region of northern Luzon in the Philippines.
-
C.
Ibaan
Ibaan is a landlocked municipality in the province of Batangas in the Philippines, known for its agricultural economy and local religious and cultural festivities.
-
D.
Ibiúna
Ibiúna is a municipality in the state of São Paulo, Brazil, known for its rural landscapes, environmental protection areas, and agricultural production.
-
E.
Kurripako-Baniwa
Kurripako-Baniwa is an Arawakan language spoken by Indigenous communities in the Upper Rio Negro region of Brazil, Colombia, and Venezuela.
- 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.