Triple
T9349229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estádio Mineirão |
E224971
|
entity |
| Predicate | cityDerbyHosted |
P88080
|
FINISHED |
| Object | Clássico Mineiro |
—
|
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: Clássico Mineiro | Statement: [Estádio Mineirão, cityDerbyHosted, Clássico Mineiro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityDerbyHosted Context triple: [Estádio Mineirão, cityDerbyHosted, Clássico Mineiro]
-
A.
cityDerby
Indicates a competitive or rivalry relationship between two cities, often in sports or similar local contests.
-
B.
homeCityDerby
Indicates that two sports teams are based in the same city and their match-up constitutes a local rivalry or derby.
-
C.
cityOfChampion
Indicates that a particular city is recognized as the home or representative city of a given champion or championship-winning entity.
-
D.
cityInDerby
Indicates that a city is located within the geographic or administrative boundaries of Derby.
-
E.
gameOfTheCenturyCity
Indicates the city where a game known as the "Game of the Century" took place.
- F. None of above. chosen
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_69ca842993248190a79ab06968994b86 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f1198b88190adc0b01f7c1be36e |
completed | April 1, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69cc7a68ab9481909f97cb70764697cc |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc955a38108190b602d1e73725f11b |
completed | April 1, 2026, 3:47 a.m. |
Created at: March 30, 2026, 7:41 p.m.