Triple
T26684272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Demat e Kuq |
E672700
|
entity |
| Predicate | typeOfSupporterName |
P80302
|
FINISHED |
| Object | collective nickname |
—
|
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: collective nickname | Statement: [Demat e Kuq, typeOfSupporterName, collective nickname]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfSupporterName Context triple: [Demat e Kuq, typeOfSupporterName, collective nickname]
-
A.
supporterType
Indicates the specific role or category of support a supporter provides in relation to another entity or activity.
-
B.
supportersGroupType
chosen
Indicates the classification or category of a supporters group associated with an entity.
-
C.
hasSupporterNickname
Indicates that an entity is associated with a nickname or informal name used specifically by its supporters or fans.
-
D.
supporterIdentity
Indicates that one entity is identified as a supporter (e.g., backer, advocate, or sponsor) of another entity or cause.
-
E.
hasSupporter
Indicates that one entity supports, endorses, or backs another entity.
- 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_69eecda13424819092b17942c4edf722 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69fd19f791f48190bbb6f6047f9ddc59 |
completed | May 7, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fd0df365948190bc9bfc7ffd46acd8 |
completed | May 7, 2026, 10:10 p.m. |
Created at: April 27, 2026, 3:21 a.m.