Triple
T18002066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taytay |
E430651
|
entity |
| Predicate | hasProvinceCapital |
P3433
|
FINISHED |
| Object | Antipolo |
—
|
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: Antipolo | Statement: [Taytay, hasProvinceCapital, Antipolo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antipolo Context triple: [Taytay, hasProvinceCapital, Antipolo]
-
A.
Antipolo
Antipolo is a rural barangay in the municipality of San Antonio in the province of Zambales, Philippines.
-
B.
Antipolo
chosen
Antipolo is a city in the province of Rizal, Philippines, known as a pilgrimage site and suburban residential area east of Metro Manila.
-
C.
Calamba City
Calamba City is a highly urbanized city in the province of Laguna, Philippines, known as the hometown of national hero José Rizal and a major industrial and residential hub south of Metro Manila.
-
D.
Las Piñas City
Las Piñas City is a highly urbanized city in Metro Manila, Philippines, known for its rapid residential and commercial development and its famous Bamboo Organ.
-
E.
Muntinlupa
Muntinlupa is a highly urbanized city in the southern part of Metro Manila in the Philippines, known for housing the New Bilibid Prison and major commercial and residential developments like Alabang.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b3e9498c8190bdfa7a53b0c0d8db |
completed | April 19, 2026, 10:52 a.m. |
Created at: April 10, 2026, 10:23 a.m.