Triple
T14818033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Philippine |
E348369
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Capiznon |
E110739
|
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: Capiznon | Statement: [Central Philippine, hasMember, Capiznon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Capiznon Context triple: [Central Philippine, hasMember, Capiznon]
-
A.
Capiznon
chosen
Capiznon is an Austronesian language spoken primarily in the province of Capiz on Panay Island in the central Philippines.
-
B.
Caselotti
Caselotti is an Italian surname most notably associated with Adriana Caselotti, the original voice of Snow White in Disney’s 1937 animated film.
-
C.
Baldovino
Baldovino is an Italian given name, historically used in medieval Europe and related to the name Baldwin.
-
D.
Zannone
Zannone is a small, uninhabited Italian island in the Tyrrhenian Sea, noted for its protected natural environment and inclusion in the Circeo National Park.
-
E.
Mazzantini
Mazzantini is an Italian surname most notably borne by the contemporary novelist and actress Margaret Mazzantini.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe2c1ec81908b3dff7a5d0e85d0 |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe389940e081908ad627955cb8d52e |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:50 a.m.