Triple
T32854942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antonio Rebollo |
E840350
|
entity |
| Predicate | litOlympicCauldronInCity |
P10390
|
FINISHED |
| Object | Barcelona |
—
|
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: Barcelona | Statement: [Antonio Rebollo, litOlympicCauldronInCity, Barcelona]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: litOlympicCauldronInCity Context triple: [Antonio Rebollo, litOlympicCauldronInCity, Barcelona]
-
A.
olympicCauldronLighter
chosen
Indicates the person or entity that performs the ceremonial act of lighting the Olympic cauldron at the start of the Olympic Games.
-
B.
hasOlympicCauldronLocation
Indicates the location where an Olympic cauldron is or was situated for a particular Olympic Games or related event.
-
C.
OlympicVenue
Indicates that a location serves or has served as a site where official Olympic Games events are held.
-
D.
OlympicGoldMedalCity
Indicates that a city is the location where an Olympic Games took place in which a gold medal was awarded.
-
E.
olympicFlameLitIn
Indicates that the Olympic flame was lit in a particular location or event.
- 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_69f349412c78819084459850e11d29f7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ce7d0c2481908adf89dce746b0fd |
completed | May 3, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:17 a.m.