Triple
T10253549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentina national rugby union team |
E240403
|
entity |
| Predicate | worldCupReputation |
P93211
|
FINISHED |
| Object | overachievers relative to resources |
—
|
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: overachievers relative to resources | Statement: [Argentina national rugby union team, worldCupReputation, overachievers relative to resources]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldCupReputation Context triple: [Argentina national rugby union team, worldCupReputation, overachievers relative to resources]
-
A.
worldCupEdition
Indicates the specific edition or instance of the FIFA World Cup tournament associated with a given event, team, or record.
-
B.
worldCupZone
Indicates a relationship where a location, team, or match is associated with a specific geographic or organizational zone used for World Cup qualification or grouping.
-
C.
worldCupWon
Indicates that the subject has won the FIFA World Cup tournament.
-
D.
worldCupRecord
Indicates a relationship that specifies an entity’s performance statistics or achievements in FIFA World Cup competitions.
-
E.
worldCupPlayed
Indicates that a World Cup tournament has taken place or been held (typically at a specific time and/or location).
- 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.