Triple
T8079570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCR |
E188578
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Bulacan |
E87267
|
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: Bulacan | Statement: [NCR, borderedBy, Bulacan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bulacan Context triple: [NCR, borderedBy, Bulacan]
-
A.
Bulacan
chosen
Bulacan is a province in the Central Luzon region of the Philippines known for its historical significance, cultural heritage, and proximity to Metro Manila.
-
B.
Pampanga
Pampanga is a province in the Central Luzon region of the Philippines, known for its rich culinary heritage, vibrant festivals, and significant role in the country’s history and culture.
-
C.
Nueva Vizcaya
Nueva Vizcaya was a vast province of New Spain in northern Mexico that once encompassed areas now forming several modern states, including Durango.
-
D.
Nueva Vizcaya
Nueva Vizcaya is a landlocked province in the northern Philippines known for its mountainous terrain, agricultural economy, and ethnically diverse population.
-
E.
Quezon Province
Quezon Province is a coastal province in the Calabarzon region of Luzon in the Philippines, known for its coconut plantations, heritage towns, and access to the Pacific Ocean.
- 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_69ca82b662e88190b9323daab8c28a21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb40a3f01c819096a2c9d5d5199fe6 |
completed | March 31, 2026, 3:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1c750c7c81908ad680f942bcbe9c |
completed | April 2, 2026, 7:36 a.m. |
Created at: March 30, 2026, 5:28 p.m.