Triple
T29290220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iceland vs Croatia (2018 FIFA World Cup Group D) |
E742639
|
entity |
| Predicate | equaliserMinute |
P145307
|
FINISHED |
| Object | 76 |
—
|
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: 76 | Statement: [Iceland vs Croatia (2018 FIFA World Cup Group D), equaliserMinute, 76]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: equaliserMinute Context triple: [Iceland vs Croatia (2018 FIFA World Cup Group D), equaliserMinute, 76]
-
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.
equalizingGoalBy
Indicates that one entity has the objective of reducing differences or disparities between itself and another entity.
-
C.
hasMatchMinute
chosen
Indicates the specific minute within a match at which an associated event or action occurs.
-
D.
musicMeter
Indicates the rhythmic structure or time signature governing how beats are organized within a piece of music.
-
E.
medianEquals
Indicates that the median value of a given set or sequence is equal to a specified value.
- 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_69f0912323c48190b9a24ef8cf359225 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f66d7765208190b87b1cc6d96a151c |
completed | May 2, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69f66abfdaf08190a55f14c70be6fd4d |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 1:01 p.m.