Triple
T25220218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warrandyte Cricket Club |
E631940
|
entity |
| Predicate | fields |
P158790
|
FINISHED |
| Object | multiple junior 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: multiple junior teams | Statement: [Warrandyte Cricket Club, fields, multiple junior teams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fields Context triple: [Warrandyte Cricket Club, fields, multiple junior teams]
-
A.
fields
Indicates that one entity has fields or attributes that are defined, declared, or contained within another entity.
-
B.
campo
Indicates that an entity is associated with, located in, or characterized by a particular field, area, or domain (often geographic or topical).
-
C.
fieldComposition
Indicates how the components or elements within a field are organized, combined, or structured in relation to one another.
-
D.
fieldAdvanced
Indicates that a particular field or attribute has progressed beyond a basic or standard level, reflecting a more complex, specialized, or developed state.
-
E.
fieldDesign
Indicates a relationship where an entity is responsible for planning, arranging, or specifying the layout and structure of a particular field or area.
- 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_69e75a8e0f688190a7aebe9a4815e25b |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f4806d93dc8190b9dff4c63186faff |
completed | May 1, 2026, 10:29 a.m. |
| PDg | Predicate description generation | batch_69f48b9058d081908ec9af261ee092e2 |
completed | May 1, 2026, 11:16 a.m. |
Created at: April 21, 2026, 1:02 p.m.