Triple
T16360485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balagtas |
E397296
|
entity |
| Predicate | isBorderedBy |
P224
|
FINISHED |
| Object | Bocaue |
E147181
|
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: Bocaue | Statement: [Balagtas, isBorderedBy, Bocaue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bocaue Context triple: [Balagtas, isBorderedBy, Bocaue]
-
A.
Bocaue, Bulacan
chosen
Bocaue, Bulacan is a municipality in the province of Bulacan in the Philippines, known for its religious festivals and as the site of major venues such as the Philippine Arena.
-
B.
Initao
Initao is a coastal municipality in the province of Misamis Oriental in the Philippines, known for its beaches, marine sanctuary, and limestone forest park.
-
C.
Itbayat
Itbayat is a remote island municipality in the northernmost part of the Philippines, known for its rugged coastal cliffs, traditional stone houses, and preserved Ivatan culture.
-
D.
Meycauayan
Meycauayan is a highly urbanized city in the Philippine province of Bulacan known for its jewelry and leather industries.
-
E.
Narvacan
Narvacan is a coastal municipality in the province of Ilocos Sur in the Philippines, known for its historic churches, scenic beaches, and wind-swept 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_6a008a2156008190a079c9f1b721d40a |
completed | May 10, 2026, 1:37 p.m. |
Created at: April 10, 2026, 5:08 a.m.