Triple
T7580032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Proto-Bisayan |
E179461
|
entity |
| Predicate | ancestorOf |
P369
|
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: [Proto-Bisayan, ancestorOf, Capiznon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Capiznon Context triple: [Proto-Bisayan, ancestorOf, Capiznon]
-
A.
Capiznon
chosen
Capiznon is an Austronesian language spoken primarily in the province of Capiz on Panay Island in the central Philippines.
-
B.
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.
-
C.
Bisacquino
Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
-
D.
Crispiano
Crispiano is a town and comune in the Apulia region of southern Italy, known for its rural landscapes and traditional agricultural activities.
-
E.
Mattioli
Mattioli is an Italian surname historically associated with figures such as the 17th-century statesman Ercole Antonio Mattioli.
- 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_69c69f327db881909a21ae3b156f8ded |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f975bbc08190aec30f902eaea494 |
completed | March 27, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c861735c7c81908e2c9fcbb1005ec3 |
completed | March 28, 2026, 11:17 p.m. |
Created at: March 27, 2026, 3:52 p.m.