Triple
T37778274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Município de Santa Maria de Jetibá |
E941749
|
entity |
| Predicate | unidadeFederativa |
P65212
|
FINISHED |
| Object | Espírito Santo |
—
|
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: Espírito Santo | Statement: [Município de Santa Maria de Jetibá, unidadeFederativa, Espírito Santo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unidadeFederativa Context triple: [Município de Santa Maria de Jetibá, unidadeFederativa, Espírito Santo]
-
A.
stateUnit
chosen
Indicates a relationship where one entity is a constituent administrative or organizational unit within a larger state or state-like structure.
-
B.
stateOrTerritory
Indicates that one entity is a state or territory that is politically or administratively associated with another entity.
-
C.
stateFederation
Indicates that a state is a member of, or participates in, a larger federal union or federation.
-
D.
stateOrRegion
Indicates that one entity is a state or region in which the other entity is located or with which it is associated.
-
E.
provinceState
Indicates that one entity is a province or state that is administratively contained within or associated with another, typically larger, territorial entity.
- F. None of above.
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_69f76ee4431881908f87e8892a9f39f3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbaf45bd40819090879114ec90db3e |
completed | May 6, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:19 p.m.