Triple
T18571499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quarter-finals 2015 Cricket World Cup |
E453882
|
entity |
| Predicate | numberOfGroupsFeedingStage |
P8911
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Quarter-finals 2015 Cricket World Cup, numberOfGroupsFeedingStage, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfGroupsFeedingStage Context triple: [Quarter-finals 2015 Cricket World Cup, numberOfGroupsFeedingStage, 2]
-
A.
numberOfGroups
chosen
Indicates the total count of distinct groups associated with or formed within a given context or entity.
-
B.
numberPerStage
Indicates the quantity or count associated with each distinct stage in a multi-stage process or sequence.
-
C.
numberOfStages
Indicates the total count of distinct stages or phases associated with a given process, event, or entity.
-
D.
numberOfGroupMembers
Indicates the total count of individual members that belong to a specified group.
-
E.
numberPerSecondStage
Indicates the quantity or count associated with each second stage in a multi-stage process or system.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53b021ea4819095fe06be88e74133 |
completed | April 19, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69e478c98d4c81909d37a0e72c6e7bd0 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:43 a.m.