Triple
T16360555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calumpit |
E397298
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Apalit |
E386366
|
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: Apalit | Statement: [Calumpit, borderedBy, Apalit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apalit Context triple: [Calumpit, borderedBy, Apalit]
-
A.
Apalit
chosen
Apalit is a municipality in the province of Pampanga in the Philippines, known for its religious festivals and riverside communities along the Pampanga River.
-
B.
Ampatuan
Ampatuan is a municipality in the Philippine province of Maguindanao, known for its political clan and association with the 2009 Maguindanao massacre.
-
C.
Pulilan
Pulilan is a municipality in the province of Bulacan in the Philippines, known for its agricultural economy and the annual Kneeling Carabao Festival honoring San Isidro Labrador.
-
D.
Balayan
Balayan is a historic coastal municipality in the province of Batangas in the Philippines, known for its heritage houses and annual Parada ng Lechon festival.
-
E.
Malibcong
Malibcong is a remote, mountainous municipality in the Philippine province of Abra known for its indigenous communities and largely undeveloped natural landscapes.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2fad241848190a9f32c7b050f20a5 |
completed | April 18, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002dbce2508190b655de87f48e841e |
completed | May 10, 2026, 7:03 a.m. |
Created at: April 10, 2026, 5:08 a.m.