Triple
T28289860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eden Hazard |
E713392
|
entity |
| Predicate | worldCupMedal |
P62644
|
FINISHED |
| Object | 2018 FIFA World Cup bronze medal |
—
|
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: 2018 FIFA World Cup bronze medal | Statement: [Eden Hazard, worldCupMedal, 2018 FIFA World Cup bronze medal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldCupMedal Context triple: [Eden Hazard, worldCupMedal, 2018 FIFA World Cup bronze medal]
-
A.
WorldCupMedal
chosen
Indicates that an entity has received a medal (e.g., gold, silver, bronze) for its performance in a FIFA World Cup tournament.
-
B.
worldCupGoldMedal
Indicates that an entity has won a gold medal in a FIFA World Cup tournament.
-
C.
worldCupWon
Indicates that the subject has won the FIFA World Cup tournament.
-
D.
worldChampionshipGoldMedals
Indicates the number of gold medals an entity has won at world championship competitions.
-
E.
worldChampionshipsGoldMedal
Indicates that the subject has won a gold medal at a world championship competition.
- 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_69efb52371d88190a1381c4e58a3b731 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: April 27, 2026, 11:28 p.m.