Triple
T28163786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cüneyt Çakır |
E714968
|
entity |
| Predicate | WorldCupEditionOfficiated |
P179792
|
FINISHED |
| Object | 2014 FIFA World Cup |
—
|
NE NERFINISHED |
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: 2014 FIFA World Cup | Statement: [Cüneyt Çakır, WorldCupEditionOfficiated, 2014 FIFA World Cup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WorldCupEditionOfficiated Context triple: [Cüneyt Çakır, WorldCupEditionOfficiated, 2014 FIFA World Cup]
-
A.
worldCupEdition
Indicates the specific edition or instance of the FIFA World Cup tournament associated with a given event, team, or record.
-
B.
numberOfWorldCupMatchesOfficiated
Indicates the total count of World Cup matches that a particular official has overseen or refereed.
-
C.
worldCupCategory
Indicates that an entity is classified under a specific category or type related to the FIFA World Cup.
-
D.
WorldCup
Indicates a relationship where an entity is associated with the FIFA World Cup, such as participating in, hosting, or being otherwise directly involved in that tournament.
-
E.
worldCupMatch
Indicates that a particular game is a match played as part of the FIFA World Cup 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_69efd6b156448190bfa15958208395c3 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
| PDg | Predicate description generation | batch_69f727ad9ff88190ba8069dd48b2e98f |
completed | May 3, 2026, 10:47 a.m. |
Created at: April 27, 2026, 10:08 p.m.