Triple
T4606340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bangsamoro Autonomous Region in Muslim Mindanao |
E100445
|
entity |
| Predicate | hasDemographicGroup |
P1898
|
FINISHED |
| Object | Yakan |
E183456
|
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: Yakan | Statement: [Bangsamoro Autonomous Region in Muslim Mindanao, hasDemographicGroup, Yakan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yakan Context triple: [Bangsamoro Autonomous Region in Muslim Mindanao, hasDemographicGroup, Yakan]
-
A.
Yakan
chosen
Yakan is an Austronesian language spoken primarily by the Yakan people of Basilan and nearby areas in the southern Philippines.
-
B.
Butuanon
Butuanon is an Austronesian language spoken primarily in the city of Butuan and surrounding areas in northeastern Mindanao in the southern Philippines.
-
C.
Bukidnon
Bukidnon is a landlocked, mountainous province in the Philippines known for its vast agricultural plantations, cool climate, and scenic highland landscapes.
-
D.
Ibanag
Ibanag is an Austronesian language spoken primarily in the Cagayan Valley region of northern Luzon in the Philippines.
-
E.
Kawayan
Kawayan is a coastal municipality on Biliran Island in the Eastern Visayas region of the Philippines.
- 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_69bd43cce1e08190a07d53af6a9b6c24 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd599b1f0881909fd693b81ff44f98 |
completed | March 20, 2026, 2:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be034e509c8190b2da7e2eaf2acb48 |
completed | March 21, 2026, 2:32 a.m. |
Created at: March 20, 2026, 1:12 p.m.