Triple
T11021930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cavite City |
E260510
|
entity |
| Predicate | demonym |
P191
|
FINISHED |
| Object | Caviteño |
E74028
|
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: Caviteño | Statement: [Cavite City, demonym, Caviteño]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caviteño Context triple: [Cavite City, demonym, Caviteño]
-
A.
Pangasinense
Pangasinense is an Austronesian language spoken primarily in the province of Pangasinan in the Philippines.
-
B.
Cavite
chosen
Cavite is a coastal province in the Calabarzon region of the Philippines, historically significant as a center of the Philippine Revolution and located just south of Metro Manila.
-
C.
Boholano
Boholano is a regional variety of the Cebuano (Binisaya) language spoken primarily on the island of Bohol in the Philippines.
-
D.
Zamboangueño
Zamboangueño is a major variety of the Spanish-based creole language Chavacano spoken primarily in Zamboanga City in the southern Philippines.
-
E.
Quezon
Quezon is a province in the Philippines located in the Calabarzon region on the island of Luzon, known for its coconut plantations, cultural festivals, and the Quezon National Forest Park.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797bb6eec81909d8004af31f307f7 |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e374f64b3c8190b0b55193f81d3bc5 |
completed | April 18, 2026, 12:11 p.m. |
Created at: April 8, 2026, 9:25 p.m.