Triple
T32731465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Várzea Grande |
E836965
|
entity |
| Predicate | stateCapitalMetropolitanArea |
P176988
|
FINISHED |
| Object | Cuiabá |
E144203
|
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: Cuiabá | Statement: [Várzea Grande, stateCapitalMetropolitanArea, Cuiabá]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateCapitalMetropolitanArea Context triple: [Várzea Grande, stateCapitalMetropolitanArea, Cuiabá]
-
A.
countryCapitalMetropolitanArea
Indicates that a specified metropolitan area serves as the capital region of a given country.
-
B.
stateCapitalArea
Indicates the geographic area or size associated with a state's capital city.
-
C.
regionCapital
Indicates that one entity is the capital city or administrative center of a specified region.
-
D.
isStateCapitalMetro
chosen
Indicates that a metropolitan area serves as the capital city region for a given state.
-
E.
metropolitanOf
Indicates that one place serves as the primary metropolitan center or core urban area for another place or region.
- F. None of above.
Provenance (4 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_69f34935fb048190ad4967420581f835 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fddd373cdc8190be1b12e70e4deb1f |
completed | May 8, 2026, 12:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34b156a53c8190abe5cb37f5be50af |
completed | June 19, 2026, 3:02 a.m. |
| PD | Predicate disambiguation | batch_69fddc6915a88190ad41e379aa3ede13 |
completed | May 8, 2026, 12:51 p.m. |
Created at: May 1, 2026, 1:11 a.m.