Triple
T36289254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiji women’s national rugby sevens team |
E893176
|
entity |
| Predicate | olympicDebutCity |
P177580
|
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: [Fiji women’s national rugby sevens team, olympicDebutCity, Rio de Janeiro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: olympicDebutCity Context triple: [Fiji women’s national rugby sevens team, olympicDebutCity, Rio de Janeiro]
-
A.
olympicDebutLocation
Indicates the location where an entity (such as an athlete, team, or country) first participated in the Olympic Games.
-
B.
olympicDebut
Indicates the event or year in which an entity first participated in the Olympic Games.
-
C.
olympicHostCityAtDebut
chosen
Indicates the city that hosted the Olympic Games at which a given entity (such as a country or athlete) made its Olympic debut.
-
D.
firstOlympicMedalCity
Indicates the city where an entity won its first Olympic medal.
-
E.
youthOlympicDebutYear
Indicates the year in which an entity first participated in or was introduced to the Youth 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_69f76e4955c08190b8cfddca34fc0242 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7ba6d06f48190a71b5a2f19e2232f |
completed | May 3, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.