Triple
T9745228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bukidnon |
E236288
|
entity |
| Predicate | hasEthnicGroup |
P1898
|
FINISHED |
| Object | Talaandig |
E463909
|
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: Talaandig | Statement: [Bukidnon, hasEthnicGroup, Talaandig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Talaandig Context triple: [Bukidnon, hasEthnicGroup, Talaandig]
-
A.
Talaandig
chosen
The Talaandig are an indigenous Manobo subgroup in the Philippines known for their rich oral traditions, music, and rituals rooted in ancestral land and forest stewardship.
-
B.
Talugtug
Talugtug is a landlocked agricultural municipality in the province of Nueva Ecija in the Philippines.
-
C.
Tamalakaw
Tamalakaw is a village in Taiwan known as one of the communities where the indigenous Puyuma language is traditionally spoken.
-
D.
Balibago
Balibago is a bustling commercial and entertainment district in Angeles City, Pampanga, Philippines, known for its nightlife, shopping areas, and proximity to Clark Freeport Zone.
-
E.
Ikalahan
Ikalahan is an indigenous people of the northern Philippines whose name is also used for their native Kalanguya language.
- 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_69ca84d3e24481908a476e2231123cf9 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f2f8e648190ad94c940f9dc1de0 |
completed | April 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1b004a6e88190a974f4a8973f91ef |
completed | April 5, 2026, 12:42 a.m. |
Created at: March 30, 2026, 8:23 p.m.