Triple
T7740166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valdivia Province |
E175485
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Máfil |
E125290
|
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: Máfil | Statement: [Valdivia Province, contains, Máfil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Máfil Context triple: [Valdivia Province, contains, Máfil]
-
A.
Máfil
chosen
Máfil is a small town and commune located in southern Chile's Los Ríos Region, known for its rural character and forestry-based economy.
-
B.
Marajil
Marajil was the mother of the Abbasid caliph al-Ma'mun and a woman of the early ninth-century Abbasid court.
-
C.
Marahuté
Marahuté is a majestic golden eagle from Disney's animated film "The Rescuers Down Under," known for her enormous size, gentle nature, and role as a rare and endangered creature the heroes strive to protect.
-
D.
Hoanya
Hoanya is the self-designated name of an indigenous Taiwanese group historically associated with the now-extinct Hoanya language.
-
E.
Mugatu
Mugatu is the flamboyant, villainous fashion designer portrayed by Will Ferrell in the comedy film "Zoolander."
- 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_69c6995f9c60819092e386192bd63c6f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7035cddb881908bdfc1bd7d6a64ad |
completed | March 27, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be4178408190850c284aab895442 |
completed | March 29, 2026, 5:53 a.m. |
Created at: March 27, 2026, 4:07 p.m.