Triple
T28178284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ouro Preto |
E715957
|
entity |
| Predicate | gainedMunicipalStatus |
P5556
|
FINISHED |
| Object | 1711 |
—
|
LITERAL 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: 1711 | Statement: [Ouro Preto, gainedMunicipalStatus, 1711]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gainedMunicipalStatus Context triple: [Ouro Preto, gainedMunicipalStatus, 1711]
-
A.
hasMunicipalStatusChange
chosen
Indicates that an entity undergoes a change in its official municipal status (e.g., creation, upgrade, downgrade, merger, or dissolution as a municipality).
-
B.
hasMunicipalFormation
Indicates that an administrative or territorial unit is organized into, or associated with, a specific municipal formation as its local self-governing structure.
-
C.
isMunicipalStatus
Indicates that an entity possesses a specific legally defined municipal status or classification within a governmental or administrative system.
-
D.
cityStatusGrantedIn
Indicates the event or point in time at which an entity was officially granted city status in a particular place or jurisdiction.
-
E.
wasUpgradedToMetropolitanCityIn
Indicates that a city or town was officially elevated in status to a metropolitan city in a specified year or on a specific date.
- 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_69efd6b4fc5c81909dd88f01a8c2b35d |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641def1e88190a05bf865ced78b23 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 10:18 p.m.