Triple
T21231567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olongapo–Gapan Road |
E523232
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Gapan |
—
|
NE NERFINISHED |
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: Gapan | Statement: [Olongapo–Gapan Road, connects, Gapan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gapan Context triple: [Olongapo–Gapan Road, connects, Gapan]
-
A.
Gapan City
chosen
Gapan City is a component city in the province of Nueva Ecija in the Philippines, known as one of the country’s oldest towns and a commercial hub in Central Luzon.
-
B.
Pampang
Pampang is a barangay (village-level administrative division) within Angeles City in the province of Pampanga, Philippines.
-
C.
Kapangan
Kapangan is a rural municipality in the mountainous province of Benguet in the Philippines, known for its cool climate, highland farms, and scenic Cordillera landscapes.
-
D.
City of Gapan
The City of Gapan is a component city in the province of Nueva Ecija in the Philippines, historically known as one of the country’s oldest towns and a commercial hub in Central Luzon.
-
E.
Gorospe
Gorospe is a Basque surname most notably associated with Spanish former professional cyclist Julián Gorospe.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b512ad94819087942b2ed925185f |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734affc208190ab0c378af07e2ad2 |
completed | April 21, 2026, 8:26 a.m. |
Created at: April 16, 2026, 3:45 p.m.