Triple
T8583670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Group B (2018 FIFA World Cup) |
E203247
|
entity |
| Predicate | numberOfAFCTeams |
P82969
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Group B (2018 FIFA World Cup), numberOfAFCTeams, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfAFCTeams Context triple: [Group B (2018 FIFA World Cup), numberOfAFCTeams, 1]
-
A.
numberOfNationalFederations
Indicates the total count of national federations associated with or governed by a given entity.
-
B.
numberOfAmericanLeagueTeams
Indicates the total count of teams that belong to the American League.
-
C.
numberOfTeamsInUnitedStates
Indicates the total count of teams that are located within or belong to the United States.
-
D.
AFCTeam
Indicates a relationship where an entity is a team associated with, belonging to, or participating in the AFC (American Football Conference).
-
E.
byeTeamsPerConference
Indicates the number of teams in each conference that receive a bye (i.e., skip a round) in a competition or playoff structure.
- 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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbeb1ecc188190bbe2ab8d2423505b |
completed | March 31, 2026, 3:41 p.m. |
| PD | Predicate disambiguation | batch_69cbd11b13108190b07f8f161425a585 |
completed | March 31, 2026, 1:50 p.m. |
| PDg | Predicate description generation | batch_69cbe12dd0b88190a38ec4d15dcc870b |
completed | March 31, 2026, 2:58 p.m. |
Created at: March 30, 2026, 6:22 p.m.