Triple
T23508241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2003 FIFA Women's World Cup |
E572345
|
entity |
| Predicate | goldenGoalScorerInFinal |
P108961
|
FINISHED |
| Object |
Nia Künzer
Nia Künzer is a former German footballer best known for scoring the decisive golden goal that secured Germany the 2003 FIFA Women’s World Cup title.
|
E1611950
|
NE FINISHED |
How this triple was built (3 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: Nia Künzer | Statement: [2003 FIFA Women's World Cup, goldenGoalScorerInFinal, Nia Künzer]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nia Künzer Triple: [2003 FIFA Women's World Cup, goldenGoalScorerInFinal, Nia Künzer]
Generated description
Nia Künzer is a former German footballer best known for scoring the decisive golden goal that secured Germany the 2003 FIFA Women’s World Cup title.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goldenGoalScorerInFinal Context triple: [2003 FIFA Women's World Cup, goldenGoalScorerInFinal, Nia Künzer]
-
A.
goldenGoalRuleUsed
Indicates that the outcome of a match or competition was determined using the golden goal rule, where the first score in extra time immediately ends the game.
-
B.
titleWinningGoalScorer
chosen
Indicates the player who scored the decisive goal that secured a title or championship in a competition.
-
C.
seriesWinningGoalScorer
Indicates the player who scored the decisive goal that clinched victory in a multi-game series.
-
D.
goalkeeperInFinal
Indicates that an entity served as a goalkeeper in the final match of a competition.
-
E.
penaltyShootoutWinner
Indicates that one competitor or team is the winner of a match decided by a penalty shootout.
- F. None of above.
Provenance (6 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_69e245b5e4208190bac8a6509867e394 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a901c9908190a781e79fe8b96743 |
completed | April 29, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0f7e44688081909269aa12a14f24b2 |
completed | May 21, 2026, 9:51 p.m. |
| NEDg | Description generation | batch_6a0f7ee1ace08190a2f374182c320040 |
completed | May 21, 2026, 9:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0f7f84f8c881909f889b0b0ef7fd27 |
completed | May 21, 2026, 9:56 p.m. |
| PD | Predicate disambiguation | batch_69f0621165c08190a0b27b1319733959 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 6:07 p.m.