Triple
T6862642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pies |
E158318
|
entity |
| Predicate | hasFanBaseDescriptor |
P65078
|
FINISHED |
| Object | Collingwood supporters |
—
|
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: Collingwood supporters | Statement: [Pies, hasFanBaseDescriptor, Collingwood supporters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFanBaseDescriptor Context triple: [Pies, hasFanBaseDescriptor, Collingwood supporters]
-
A.
hasFanBaseFrom
Indicates that an entity has a significant group of supporters or followers originating from a specified place, group, or source.
-
B.
hasFan
Indicates that an entity is the admirer, supporter, or enthusiast of another entity.
-
C.
hasFanBaseTension
Indicates a relationship where there is conflict, rivalry, or strained relations between the fan bases of the related entities.
-
D.
hasSupportBaseIn
Indicates that one entity maintains an operational or organizational base of support located in another entity.
-
E.
fanBaseName
chosen
Indicates the name by which the collective group of fans of a particular person, group, or entity is known.
- 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_69c68830cdbc8190a8301c7a9d9f651a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6da3ce95081909a424ac04bc7fa07 |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b168908190b2f7c724b1bc7fc9 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:21 p.m.