Triple
T9732861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Region VI |
E235987
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Kabankalan |
E380065
|
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: Kabankalan | Statement: [Region VI, hasCity, Kabankalan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kabankalan Context triple: [Region VI, hasCity, Kabankalan]
-
A.
Kabankalan
chosen
Kabankalan is a major inland city in the province of Negros Occidental in the Philippines, known as a commercial and agricultural hub in the southern part of the island.
-
B.
Kidapawan
Kidapawan is a city in the Philippines that serves as the capital of Cotabato province on the island of Mindanao.
-
C.
Dipaculao
Dipaculao is a coastal municipality in the Philippine province of Aurora known for its beaches, surfing spots, and scenic mountain landscapes.
-
D.
Koronadal
Koronadal is a city in the Philippines that serves as the capital of South Cotabato and the regional administrative center of Soccsksargen.
-
E.
Baliuag
Baliuag is a first-class municipality in the province of Bulacan in the Philippines, known as a commercial and educational hub in Central Luzon.
- 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_69ca84d313e88190983ee6ffd0ef60d2 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eb54fe481908b0202f104b75dc1 |
completed | April 1, 2026, 10:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1afc4dcc4819096d29c1a0529d272 |
completed | April 5, 2026, 12:41 a.m. |
Created at: March 30, 2026, 8:22 p.m.