Triple
T34539574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pool C (2019 Rugby World Cup) |
E886767
|
entity |
| Predicate | hadRoundRobinFormat |
P146125
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Pool C (2019 Rugby World Cup), hadRoundRobinFormat, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadRoundRobinFormat Context triple: [Pool C (2019 Rugby World Cup), hadRoundRobinFormat, true]
-
A.
hasRoundRobinStage
chosen
Indicates that an event, competition, or process includes a round-robin stage in which each participant or entity competes or interacts with every other participant or entity in turn.
-
B.
usesDoubleRoundRobin
Indicates that a process, system, or competition is organized using a double round-robin format, where each participant interacts with every other participant twice.
-
C.
hasRound
Indicates that an entity possesses, includes, or is associated with a particular round (e.g., a round of an event, game, or process).
-
D.
hasRoudNumber
Indicates that an entity is associated with or assigned a specific round number within a sequence of rounds or stages.
-
E.
hasProperRounds
Indicates that an entity is associated with rounds that meet specified standards or criteria for being considered proper or valid.
- 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_69f349ce5eb881909e431c670944aa68 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71ff1a86481908210dffd1bd27001 |
completed | May 3, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69f71cc8074c81909ae09bea2acf1a09 |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:02 a.m.