Triple
T13980639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamayo |
E336299
|
entity |
| Predicate | spokenIn |
P2266
|
FINISHED |
| Object | Tagbina |
E961720
|
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: Tagbina | Statement: [Kamayo, spokenIn, Tagbina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tagbina Context triple: [Kamayo, spokenIn, Tagbina]
-
A.
Tagbina
chosen
Tagbina is a rural municipality in the province of Surigao del Sur in the Caraga region of Mindanao, Philippines.
-
B.
Malibcong
Malibcong is a remote, mountainous municipality in the Philippine province of Abra known for its indigenous communities and largely undeveloped natural landscapes.
-
C.
Guinsiliban
Guinsiliban is a coastal municipality on the island-province of Camiguin in the Philippines, known for its rural communities and proximity to volcanic landscapes and marine attractions.
-
D.
Aguiguan
Aguiguan is a small, uninhabited island in the Northern Mariana Islands known for its rugged terrain and seabird colonies.
-
E.
Agulo
Agulo is a small, picturesque coastal village and municipality on the island of La Gomera in Spain’s Canary Islands, known for its traditional architecture and dramatic cliffside scenery.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ea10dc88190b9720919a021e570 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb6504dcc81908a1dfa5a83ed7b08 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:18 p.m.