Triple
T11998203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palimbang |
E285583
|
entity |
| Predicate | sharesProvinceWith |
P102605
|
FINISHED |
| Object | Bagumbayan |
E291095
|
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: Bagumbayan | Statement: [Palimbang, sharesProvinceWith, Bagumbayan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bagumbayan Context triple: [Palimbang, sharesProvinceWith, Bagumbayan]
-
A.
Bagumbayan
chosen
Bagumbayan is a landlocked agricultural municipality in the province of Sultan Kudarat in the Philippines, known for its vast farmlands and rural communities.
-
B.
Bagumbayan
Bagumbayan is a barangay (village-level administrative division) located within the highly urbanized city of Taguig in Metro Manila, Philippines.
-
C.
Balamban
Balamban is a coastal municipality in the province of Cebu in the Philippines, known for its shipbuilding industry and growing economic zone.
-
D.
Himamaylan
Himamaylan is a coastal component city in the southern part of Negros Occidental in the Philippines, known historically as one of the province’s older settlements.
-
E.
Kabuntalan
Kabuntalan is a municipality in the province of Maguindanao del Norte in the Philippines, known for its location along the Rio Grande de Mindanao and its predominantly Maguindanaon population.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915124e4c8190b0264c2a09e3c2f3 |
completed | April 10, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a5ccac481908c61fc1109cc6ef6 |
completed | May 2, 2026, 2:29 p.m. |
Created at: April 8, 2026, 9:46 p.m.