Triple
T34871572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angelos Charisteas |
E1005764
|
entity |
| Predicate | hasHeadedGoal |
P194779
|
FINISHED |
| Object | winning goal vs Portugal in Euro 2004 final |
—
|
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: winning goal vs Portugal in Euro 2004 final | Statement: [Angelos Charisteas, hasHeadedGoal, winning goal vs Portugal in Euro 2004 final]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHeadedGoal Context triple: [Angelos Charisteas, hasHeadedGoal, winning goal vs Portugal in Euro 2004 final]
-
A.
hasGoalFor
Indicates that one entity possesses, defines, or sets a specific goal or objective intended for another entity.
-
B.
hasOppositionGoal
Indicates that one entity’s goal is in direct conflict with, or aims to prevent the achievement of, another entity’s goal.
-
C.
ownGoalBy
Indicates that a goal was accidentally scored against a team by the specified player (i.e., the player scored an own goal).
-
D.
numberOfGoals
Indicates the total count of goals scored or achieved by an entity in a given context.
-
E.
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.
- 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_69f76dbde1c08190a24e7f9beb564c8d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd864235b481908738dbb69556bc62 |
completed | May 8, 2026, 6:44 a.m. |
| PD | Predicate disambiguation | batch_69fd8373b6bc819091c554f29ee17fec |
completed | May 8, 2026, 6:32 a.m. |
| PDg | Predicate description generation | batch_69fd8640e1d4819081c98f15eeb221ab |
completed | May 8, 2026, 6:44 a.m. |
Created at: May 3, 2026, 4 p.m.