Triple
T28175835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentina national football teams |
E715586
|
entity |
| Predicate | olympicTitles |
P165736
|
FINISHED |
| Object | Olympic football tournament (men's under-23) |
—
|
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: Olympic football tournament (men's under-23) | Statement: [Argentina national football teams, olympicTitles, Olympic football tournament (men's under-23)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: olympicTitles Context triple: [Argentina national football teams, olympicTitles, Olympic football tournament (men's under-23)]
-
A.
OlympicAllAroundTitles
Indicates the number of Olympic all-around championship titles an athlete has won.
-
B.
olympicGoldMedals
Indicates that an entity has won one or more Olympic gold medals.
-
C.
totalOlympicMedals
Indicates the total number of Olympic medals an entity has earned across all Games and events.
-
D.
totalOlympicGoldMedals
Indicates the total number of Olympic gold medals that an entity has won.
-
E.
worldChampionshipGoldMedals
Indicates the number of gold medals an entity has won at world championship competitions.
- 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_69efd6b340f0819095680e15dcdc1830 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f65b14512c8190a40e70319dcc54cd |
completed | May 2, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65a6babcc81908052c9907a99c882 |
completed | May 2, 2026, 8:11 p.m. |
Created at: April 27, 2026, 10:16 p.m.