Triple
T18427840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mapuche mythology |
E450185
|
entity |
| Predicate | hasRitualSpecialist |
P17182
|
FINISHED |
| Object | machi |
—
|
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: machi | Statement: [Mapuche mythology, hasRitualSpecialist, machi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: machi Context triple: [Mapuche mythology, hasRitualSpecialist, machi]
-
A.
Machi
chosen
Machi are Mapuche spiritual leaders and healers who perform rituals, provide medicinal treatment, and mediate between the human and spiritual worlds.
-
B.
Macharen
Macharen is a small village in the Dutch province of North Brabant that forms part of the municipality of Oss.
-
C.
Machín
Machín is a stratovolcano in Colombia’s Central Andes known for its explosive eruptions and significant volcanic hazards.
-
D.
Maciachini
Maciachini is an underground station on Milan's Metro Line 3 serving the Maciachini district in the northern part of the city.
-
E.
Machang
Machang is a town and administrative district in the Malaysian state of Kelantan, known for its semi-urban character and role as a local commercial and educational hub.
- 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.