Triple
T30134194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1978 FIFA World Cup qualification |
E765939
|
entity |
| Predicate | includedHomeAndAwayLegs |
P127248
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [1978 FIFA World Cup qualification, includedHomeAndAwayLegs, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includedHomeAndAwayLegs Context triple: [1978 FIFA World Cup qualification, includedHomeAndAwayLegs, true]
-
A.
includesHomeAndAwayLegs
chosen
Indicates that the relationship or event consists of both a home leg and an away leg between the same participants.
-
B.
hasTourLeg
Indicates that a specific segment or leg is part of, or associated with, a larger tour or journey.
-
C.
includedLegs
Indicates that certain legs (segments of a journey or process) are part of, or contained within, a larger composite route or sequence.
-
D.
takeoffLeg
Indicates the specific flight leg or segment during which an aircraft takes off.
-
E.
includesAirport
Indicates that one entity contains, encompasses, or has within its scope a particular airport.
- 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_69f22477d1a081908df2b7e6ed16859d |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a0056174c908190be99c91a70393e47 |
completed | May 10, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_6a00538e7e08819091ecd4316cd641a1 |
completed | May 10, 2026, 9:44 a.m. |
Created at: April 29, 2026, 7:16 p.m.