Triple
T12504753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cagayan |
E298919
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Rizal, Cagayan |
E569546
|
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: Rizal, Cagayan | Statement: [Cagayan, hasCity, Rizal, Cagayan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rizal, Cagayan Context triple: [Cagayan, hasCity, Rizal, Cagayan]
-
A.
Rizal, Cagayan
chosen
Rizal, Cagayan is a municipality in the province of Cagayan in the Philippines known for its Malaweg-speaking community and rural, agricultural character.
-
B.
Rizal, Laguna
Rizal, Laguna is a small inland municipality in the Philippine province of Laguna known for its rural communities and agricultural landscape.
-
C.
Rizal, Nueva Ecija
Rizal, Nueva Ecija is a landlocked agricultural municipality in the province of Nueva Ecija in the Philippines, known for its rice farming and rural communities.
-
D.
Calauag, Quezon
Calauag, Quezon is a coastal municipality in the province of Quezon, Philippines, known for its fishing industry and location along Lamon Bay.
-
E.
Gumaca, Quezon
Gumaca, Quezon is a historic coastal municipality in the province of Quezon, Philippines, known for its heritage structures and strategic location along major land and sea routes.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dfddf38819099263b8b1e804736 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bb5af708190b3786da334c3bf23 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.