Triple
T29290221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iceland vs Croatia (2018 FIFA World Cup Group D) |
E742639
|
entity |
| Predicate | equaliserType |
P168137
|
FINISHED |
| Object | penalty kick |
—
|
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: penalty kick | Statement: [Iceland vs Croatia (2018 FIFA World Cup Group D), equaliserType, penalty kick]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: equaliserType Context triple: [Iceland vs Croatia (2018 FIFA World Cup Group D), equaliserType, penalty kick]
-
A.
lateEqualiserType
Indicates that the type or nature of an equalising score is specifically classified as a “late” equaliser, occurring near the end of a match or game.
-
B.
tuningType
Indicates the specific method or configuration by which something is adjusted or calibrated to achieve a desired performance or behavior.
-
C.
equoIs
Indicates that two entities are considered equal or equivalent in the given context.
-
D.
typicalGainType
Indicates the usual or characteristic type of gain associated with an entity, such as the standard way value or profit is typically obtained.
-
E.
introducedAsEQBrand
Indicates that one entity is presented or identified to others specifically as the brand equivalent of another entity.
- 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_69f0912323c48190b9a24ef8cf359225 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f673633d288190b52ceb9f8a057c44 |
completed | May 2, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 28, 2026, 1:01 p.m.