Triple
T20511230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipality of Mutatá |
E503565
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Mutatá |
—
|
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: Mutatá | Statement: [Municipality of Mutatá, administrativeCenter, Mutatá]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mutatá Context triple: [Municipality of Mutatá, administrativeCenter, Mutatá]
-
A.
Mutatá
chosen
Mutatá is a town in the Antioquia Department of Colombia, known as an agricultural and transit hub in the Urabá region.
-
B.
Matmut
Matmut is a French mutual insurance company that provides a wide range of insurance and financial services to individuals and businesses.
-
C.
Menczel
Menczel is a variant spelling of the surname Menzel, which is of German origin and borne by various notable individuals.
-
D.
Mundruczó
Mundruczó is the surname of Hungarian film and theatre director Kornél Mundruczó, known for his innovative and often provocative works.
-
E.
Mozasu
Mozasu is a central character in Min Jin Lee's novel "Pachinko," a Korean-Japanese man whose life reflects the struggles and resilience of a marginalized immigrant family across generations.
- 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69dcb8f5c8190b0d4c09f3669a8ec |
completed | April 20, 2026, 9:42 p.m. |
Created at: April 16, 2026, 11:36 a.m.