Triple
T17060851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gapan City |
E413953
|
entity |
| Predicate | knownAs |
P39
|
FINISHED |
| Object | Gapan |
E413953
|
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: Gapan | Statement: [Gapan City, knownAs, Gapan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gapan Context triple: [Gapan City, knownAs, 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.
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.
-
E.
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.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7d2dc48190816388570fa31c2e |
completed | April 18, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012349b2c88190a5c5e06a5cae1ac5 |
completed | May 11, 2026, 12:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.