Triple
T32477594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Championnat National 3 |
E830019
|
entity |
| Predicate | numberOfTeamsPerGroup |
P101831
|
FINISHED |
| Object | variable |
—
|
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: variable | Statement: [Championnat National 3, numberOfTeamsPerGroup, variable]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTeamsPerGroup Context triple: [Championnat National 3, numberOfTeamsPerGroup, variable]
-
A.
numberOfTeamsGroupStage
Indicates the total count of teams that participate in the group stage of a competition or tournament.
-
B.
teamsPerGroupInPreliminaryRound
chosen
Indicates how many teams are assigned to each group during the preliminary round of a competition or tournament.
-
C.
numberOfGroups
Indicates the total count of distinct groups associated with or formed within a given context or entity.
-
D.
numberOfGroup
Indicates the total count of groups associated with or contained by a given entity.
-
E.
hasNumberOfTeams
Indicates the quantity of teams associated with or contained by a given entity.
- 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_69f3491ff3b48190b50a7fa00bb05b1f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a01bdacb52481909c56b0398106640e |
completed | May 11, 2026, 11:29 a.m. |
| PD | Predicate disambiguation | batch_6a01bd30c8ec8190b1e54d7658b01a8d |
completed | May 11, 2026, 11:27 a.m. |
Created at: May 1, 2026, 12:58 a.m.