Triple
T12097539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ate District |
E288108
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Ate-Vitarte |
E427051
|
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: Ate-Vitarte | Statement: [Ate District, alternativeName, Ate-Vitarte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ate-Vitarte Context triple: [Ate District, alternativeName, Ate-Vitarte]
-
A.
Ate-Vitarte
chosen
Ate-Vitarte is a district in the eastern part of Lima, Peru, known for its rapid urban growth and mixed residential and industrial areas.
-
B.
Laguindingan
Laguindingan is a coastal municipality in Misamis Oriental, Philippines, best known for hosting the Laguindingan Airport that serves the Cagayan de Oro–Iligan corridor.
-
C.
Don Juan Panganiban
Don Juan Panganiban is a character in the Ilocano epic "Biag ni Lam-ang," known as one of the notable figures surrounding the hero Lam-ang’s adventures.
-
D.
Diosdado
Diosdado is a Filipino given name most prominently associated with Diosdado Macapagal, the ninth President of the Philippines.
-
E.
Kalepa Baybayan
Kalepa Baybayan was a renowned Native Hawaiian master navigator and cultural educator known for reviving and teaching traditional Polynesian wayfinding techniques on voyaging canoes such as Hōkūleʻa.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91552645c81909aff601ab3d3c0e6 |
completed | April 10, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a6f22cc8190ba12c910c5ef5868 |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:48 p.m.