Triple
T29906437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexico vs Cameroon (2014 FIFA World Cup) |
E759547
|
entity |
| Predicate | matchdayInGroup |
P78680
|
FINISHED |
| Object | first match for both teams in Group A |
—
|
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: first match for both teams in Group A | Statement: [Mexico vs Cameroon (2014 FIFA World Cup), matchdayInGroup, first match for both teams in Group A]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: matchdayInGroup Context triple: [Mexico vs Cameroon (2014 FIFA World Cup), matchdayInGroup, first match for both teams in Group A]
-
A.
matchdayElement
chosen
Indicates a relationship where an element (such as a game, event, or component) is part of or associated with a specific matchday.
-
B.
groupStageMatch
Indicates a match played between competitors during the group stage phase of a tournament or competition.
-
C.
numberOfGroupStageMatches
Indicates the total count of matches played during the group stage of a competition or tournament.
-
D.
matchdayLocation
Indicates the venue or place where a particular matchday or game is held.
-
E.
matchOf
Indicates that one entity is a specific match, counterpart, or corresponding instance of another entity within a defined context or set.
- 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_69f224600590819085e148a01c056ef6 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67756337881908627f7068dc02d9f |
completed | May 2, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 6:08 p.m.