Triple
T4720021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aklanon |
E104740
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Kinaray-a |
E274442
|
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: Kinaray-a | Statement: [Aklanon, closelyRelatedTo, Kinaray-a]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kinaray-a Context triple: [Aklanon, closelyRelatedTo, Kinaray-a]
-
A.
Kinaray-a
chosen
Kinaray-a is an Austronesian language of the Visayan group spoken primarily in the western part of the island of Panay in the Philippines, especially associated with the Karay-a people.
-
B.
Nayon
Nayon is the third month of the traditional Burmese calendar, typically falling around May–June and associated with the onset of the monsoon season and various religious observances.
-
C.
Minalin
Minalin is a municipality in the province of Pampanga in the Philippines, known for its agricultural economy and traditional cultural festivities.
-
D.
Surigaonon
Surigaonon is a Visayan language spoken primarily in the Caraga region of northeastern Mindanao in the Philippines.
-
E.
Lalakay
Lalakay is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, 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_69bd43ec4a348190bc41afae43375e71 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6428e9e081908ce4041183cad13b |
completed | March 20, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be108fe3b08190b3d306ca4b39860d |
completed | March 21, 2026, 3:29 a.m. |
Created at: March 20, 2026, 1:18 p.m.