Triple
T28322787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferran Torres |
E717322
|
entity |
| Predicate | scoredHatTrickAgainst |
P164268
|
FINISHED |
| Object | Germany national football team |
—
|
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: Germany national football team | Statement: [Ferran Torres, scoredHatTrickAgainst, Germany national football team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scoredHatTrickAgainst Context triple: [Ferran Torres, scoredHatTrickAgainst, Germany national football team]
-
A.
scoredHatTrickAt
Indicates that an entity (typically a player) scored three goals in a single game or match that took place at the specified location or event.
-
B.
scoredFor
Indicates that one entity achieved points or a score on behalf of another entity, such as a player scoring for a team.
-
C.
premierLeagueHatTricks
Indicates that the subject has scored one or more hat-tricks (three goals in a single match) in English Premier League games.
-
D.
famousGoalAgainst
Indicates that one entity is widely recognized for scoring a notable or iconic goal against another entity.
-
E.
hasScoredFor
Indicates that one entity has scored points, goals, or similar achievements on behalf of another entity, such as a team, organization, or side.
- 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_69eff6e6c3b08190ad78de6ba7f04548 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f6492c10d08190a8dbfdb678697af2 |
completed | May 2, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
| PDg | Predicate description generation | batch_69f6430975b481909191219ad13ef77e |
completed | May 2, 2026, 6:31 p.m. |
Created at: April 28, 2026, 12:25 a.m.