Triple
T24416826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2006 FIFA World Cup semi-final vs Germany |
E615605
|
entity |
| Predicate | secondGoalType |
P72446
|
FINISHED |
| Object | counter-attack |
—
|
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: counter-attack | Statement: [2006 FIFA World Cup semi-final vs Germany, secondGoalType, counter-attack]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondGoalType Context triple: [2006 FIFA World Cup semi-final vs Germany, secondGoalType, counter-attack]
-
A.
secondaryGoal
Indicates that something serves as a subordinate or supporting objective in addition to a primary goal.
-
B.
secondaryTarget
Indicates that an entity serves as an additional or subordinate target in relation to a primary target within a given context or action.
-
C.
secondStageType
Indicates the specific kind or category of a process, object, or event that occurs as the second stage in a multi-stage sequence.
-
D.
goalType
chosen
Indicates the specific category or nature of a goal associated with an entity or action.
-
E.
secondPieceType
Indicates that the relationship specifies the type or category of the second piece involved in a pair or composite structure.
- 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_69e2d7e9bfac8190a748952a90957106 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2958645248190a22bd0b8bcc2dfe2 |
completed | April 29, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f287cc4fd4819081e93cc638d9512d |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:13 a.m.