Triple
T28659693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linford Christie |
E725431
|
entity |
| Predicate | OlympicGamesGoldMedalCity |
P31742
|
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: [Linford Christie, OlympicGamesGoldMedalCity, Barcelona]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: OlympicGamesGoldMedalCity Context triple: [Linford Christie, OlympicGamesGoldMedalCity, Barcelona]
-
A.
OlympicGoldMedalCity
chosen
Indicates that a city is the location where an Olympic Games took place in which a gold medal was awarded.
-
B.
lastOlympicCity
Indicates the relationship where a city is identified as the most recent host of the Olympic Games for a given edition or context.
-
C.
olympicBronzeMedalCity
Indicates that a city is the location where an Olympic bronze medal was won or awarded.
-
D.
firstOlympicMedalCity
Indicates the city where an entity won its first Olympic medal.
-
E.
olympicGamesHosted
Indicates that a particular location or entity served as the host for a specific edition of the Olympic Games.
- 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_69f01d84f5f0819087ab5e6143b14ed7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f69383222c81909d8baa04129d5c81 |
completed | May 3, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 28, 2026, 4:57 a.m.