Triple
T14810954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laʼeeb |
E348174
|
entity |
| Predicate | precededByTournament |
P115820
|
FINISHED |
| Object | 2018 FIFA World Cup Russia mascot |
—
|
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: 2018 FIFA World Cup Russia mascot | Statement: [Laʼeeb, precededByTournament, 2018 FIFA World Cup Russia mascot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precededByTournament Context triple: [Laʼeeb, precededByTournament, 2018 FIFA World Cup Russia mascot]
-
A.
formerTournament
Indicates that an entity previously held the status of a tournament but no longer does so.
-
B.
hasTournamentNamedAfter
Indicates that an entity has a tournament that is named in honor of or after it.
-
C.
playedInTournament
Indicates that an entity participated as a competitor or player in a specific tournament.
-
D.
basedOnTournament
Indicates that one entity is derived from, determined by, or constructed using the results, structure, or outcomes of a specific tournament.
-
E.
hasTournament
Indicates that an entity organizes, hosts, or is associated with a specific tournament.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf35a5e081909321193ef37099d1 |
completed | April 14, 2026, 11:35 p.m. |
| PD | Predicate disambiguation | batch_69de8c0ef8a4819092d84478b1f56db1 |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de8f4b67cc8190b84b59fcec5cf579 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 10, 2026, 1:46 a.m.