Triple
T10253519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentina national rugby union team |
E240403
|
entity |
| Predicate | notableWorldCupFinish |
P93205
|
FINISHED |
| Object | fourth place at 2015 Rugby World Cup |
—
|
LITERAL FINISHED |
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: fourth place at 2015 Rugby World Cup | Statement: [Argentina national rugby union team, notableWorldCupFinish, fourth place at 2015 Rugby World Cup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableWorldCupFinish Context triple: [Argentina national rugby union team, notableWorldCupFinish, fourth place at 2015 Rugby World Cup]
-
A.
worldCupFinalScore
Indicates the final score outcome of a FIFA World Cup match, typically specifying the number of goals each team scored by the end of the final game.
-
B.
bestWorldCupResult
Indicates the most successful performance or highest achievement an entity has attained in any FIFA World Cup tournament.
-
C.
notableFootballEvent
Indicates an event in football that is distinguished by particular significance, impact, or memorability within the sport.
-
D.
worldCupGoals
Indicates the number of goals an entity scored in World Cup matches.
-
E.
worldCupRunnersUpFinishes
Indicates the number of times an entity has finished as the runner-up in the FIFA World Cup.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d328272c8190a3548d7f7f38cfc4 |
completed | April 7, 2026, 9:49 a.m. |
| PD | Predicate disambiguation | batch_69d4d1ebd6c88190a1f3f4a72a99d6fe |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d32741888190928b045e2241cfac |
completed | April 7, 2026, 9:49 a.m. |
Created at: April 6, 2026, 11:29 a.m.