Triple
T18428667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Mula ánima |
E450204
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | El Trauco |
—
|
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: El Trauco | Statement: [La Mula ánima, relatedTo, El Trauco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Trauco Context triple: [La Mula ánima, relatedTo, El Trauco]
-
A.
El Trauco
chosen
El Trauco is a fearsome dwarf-like figure from Chilote mythology in southern Chile, known as a powerful forest spirit associated with seduction and misfortune.
-
B.
Pillán
Pillán is a powerful ancestral spirit and volcano-associated deity in Mapuche mythology, often linked to thunder, fire, and the forces of nature.
-
C.
Atuntaqui
Atuntaqui is a small city in northern Ecuador known for its textile industry and Andean cultural traditions.
-
D.
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.
-
E.
Pencahue
Pencahue is a rural commune and town in Chile’s Maule Region, known for its agricultural activities and wine production.
- 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.