Triple
T29266617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fla–Flu derby |
E741992
|
entity |
| Predicate | hasHomeCityForFlamengo |
P183997
|
FINISHED |
| Object | Rio de Janeiro |
—
|
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: Rio de Janeiro | Statement: [Fla–Flu derby, hasHomeCityForFlamengo, Rio de Janeiro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHomeCityForFlamengo Context triple: [Fla–Flu derby, hasHomeCityForFlamengo, Rio de Janeiro]
-
A.
hasHomeCityForPalmeiras
Indicates that an entity serves as the home city for the Palmeiras football club.
-
B.
hasHomeCityForCorinthians
Indicates that an entity serves as the home city for the Corinthians team or organization.
-
C.
hasHomeCity
Indicates that an entity’s primary or official city of residence or affiliation is a specified city.
-
D.
countryCityBrazil
Indicates a relationship where a city is located within the country of Brazil.
-
E.
urbanAreaRankInBrazil
Indicates the relative position or ranking of an urban area compared to other urban areas within Brazil.
- 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_69f0912065c08190bddd23e20e8ef18e |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f7aa6795f481908940838ee7041ff5 |
completed | May 3, 2026, 8:04 p.m. |
Created at: April 28, 2026, 12:45 p.m.