Triple
T17960953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2014 ICC World Twenty20 |
E449077
|
entity |
| Predicate | super10Structure |
P129909
|
FINISHED |
| Object | two Super 10 groups of five teams |
—
|
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: two Super 10 groups of five teams | Statement: [2014 ICC World Twenty20, super10Structure, two Super 10 groups of five teams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: super10Structure Context triple: [2014 ICC World Twenty20, super10Structure, two Super 10 groups of five teams]
-
A.
superstructureType
Indicates the specific kind or design category of a structure’s superstructure that an entity possesses or is associated with.
-
B.
hasSuperstructurePosition
Indicates the relative location or placement of a component or element within the superstructure of an object or system.
-
C.
integratedStructure
Indicates that multiple components are combined into a single, cohesive structure that functions as an integrated whole.
-
D.
designedStructureType
Indicates the type or category of structure that something has been specifically designed to be.
-
E.
massiveStructure
Indicates that an entity is a very large or imposing physical structure in terms of size, scale, or mass.
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b131fa8481908cd756f350eb6359 |
completed | April 19, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69e3f8f2bd088190b1e22ad4d9cc8b13 |
completed | April 18, 2026, 9:34 p.m. |
| PDg | Predicate description generation | batch_69e42d8d68288190a05dc5d7803cf823 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:22 a.m.