Triple
T18428368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sirena chilota |
E450197
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Pincoya |
—
|
NE NERFINISHED |
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: Pincoya | Statement: [Sirena chilota, hasRelative, Pincoya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pincoya Context triple: [Sirena chilota, hasRelative, Pincoya]
-
A.
Pincoya
chosen
Pincoya is a sea spirit from Chilote mythology, depicted as a beautiful woman who controls the abundance of fish and marine life along the coasts of southern Chile.
-
B.
Los Vilos
Los Vilos is a coastal Chilean city and commune known for its beaches, fishing activities, and role as a local tourism and transport hub in the Coquimbo Region.
-
C.
Sipakapense
Sipakapense is a Mayan language spoken by the Sipakapense people of the western highlands of Guatemala.
-
D.
Huanchaco
Huanchaco is a coastal town in northern Peru famous for its surfing beaches, traditional reed fishing boats called "caballitos de totora," and rich pre-Columbian and colonial heritage.
-
E.
Pucusana
Pucusana is a coastal district and traditional fishing town in the Lima region of Peru, known for its beaches, seafood, and small natural harbor.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51b14c4d481909af975575a43c4e1 |
completed | April 19, 2026, 6:12 p.m. |
Created at: April 10, 2026, 11:25 a.m.