Triple
T6099309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batad Ifugao language |
E135954
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Batad |
E569549
|
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: Batad | Statement: [Batad Ifugao language, namedAfter, Batad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Batad Context triple: [Batad Ifugao language, namedAfter, Batad]
-
A.
Batad
chosen
Batad is a village in the Ifugao province of the Philippines, known for its terraced rice fields and indigenous culture.
-
B.
Batian
Batian is the highest peak of Mount Kenya, a prominent volcanic mountain in central Kenya.
-
C.
Bagana
Bagana is an active stratovolcano on Bougainville Island in Papua New Guinea, known for its frequent eruptions and extensive lava flows.
-
D.
Vavin
Vavin is a Paris Métro station in the 6th arrondissement, serving the Montparnasse and Jardin du Luxembourg area.
-
E.
Bayona
Bayona is a Spanish surname most notably associated with filmmaker J. A. Bayona, known for directing acclaimed films such as "The Orphanage" and "The Impossible."
- 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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b3970808190ba90f5e4235db9f2 |
completed | March 22, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1358d0e18819084e2acb9e75271b4 |
completed | March 23, 2026, 12:43 p.m. |
Created at: March 22, 2026, 4:13 p.m.