Triple
T29290009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portugal vs Spain (2018 FIFA World Cup Group B) |
E742634
|
entity |
| Predicate | lateEqualiserMinute |
P145307
|
FINISHED |
| Object | 88 |
—
|
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: 88 | Statement: [Portugal vs Spain (2018 FIFA World Cup Group B), lateEqualiserMinute, 88]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lateEqualiserMinute Context triple: [Portugal vs Spain (2018 FIFA World Cup Group B), lateEqualiserMinute, 88]
-
A.
hasMatchMinute
chosen
Indicates the specific minute within a match at which an associated event or action occurs.
-
B.
isThirtyMinutesBehind
Indicates that one entity’s time, schedule, or clock is exactly thirty minutes earlier than another reference time.
-
C.
isNinetyMinutesAheadOf
Indicates that one entity occurs or is positioned exactly ninety minutes later in time than another entity.
-
D.
minutesAheadOf
Indicates that one entity occurs or is positioned a specified number of minutes earlier in time than another entity.
-
E.
isFinalHourOf
Indicates that one time period represents the last hour within the duration or schedule of another time-related entity.
- 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_69f6653e73e081908ea14f73f88d5648 |
completed | May 2, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69f663362c008190a22afed262f1e426 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 1:01 p.m.