Triple
T22603962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maple Leaf Cricket Club |
E574905
|
entity |
| Predicate | hasNumberOfPitches |
P25242
|
FINISHED |
| Object | multiple |
—
|
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: multiple | Statement: [Maple Leaf Cricket Club, hasNumberOfPitches, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfPitches Context triple: [Maple Leaf Cricket Club, hasNumberOfPitches, multiple]
-
A.
numberOfPitches
chosen
Indicates the total count of pitches involved in a given event, performance, or musical segment.
-
B.
hasPitchType
Indicates that an entity is associated with, or characterized by, a specific type or category of pitch.
-
C.
hasPitch
Indicates that one entity possesses or is characterized by a specific pitch (such as a tonal, acoustic, or frequency-related property).
-
D.
hasPitchLength
Indicates that an entity (such as a field or pitch) is associated with a specific measurement of its length.
-
E.
hasNumberOfPins
Indicates that an entity is associated with a specific count of pins it possesses or uses.
- 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_69e245bc11308190b69d794d5d1e0bb6 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1626fad6881909895cc8c0af62f0d |
completed | April 29, 2026, 1:44 a.m. |
| PD | Predicate disambiguation | batch_69ee627be4248190889a88764624e174 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 17, 2026, 2:51 p.m.