Triple
T18908756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Votroci |
E462539
|
entity |
| Predicate | refersToEntityType |
P56511
|
FINISHED |
| Object | professional football club |
—
|
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: professional football club | Statement: [Votroci, refersToEntityType, professional football club]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToEntityType Context triple: [Votroci, refersToEntityType, professional football club]
-
A.
appliedToEntityType
Indicates that something (such as a rule, constraint, or operation) is specifically applied to entities of a given type.
-
B.
includedEntityType
Indicates that one entity type is contained within, or forms a component part of, another entity type.
-
C.
refersToAdministrativeEntityType
Indicates that one entity is associated with, or designates, a specific type or category of administrative entity (such as a class of governmental or organizational unit).
-
D.
identifiesEntityType
chosen
Indicates that one entity specifies or determines the type or category to which another entity belongs.
-
E.
refersToRole
Indicates that one entity designates, mentions, or points to another entity specifically in its capacity as a role or position.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c52eed1881908929dace845ae008 |
completed | April 20, 2026, 6:18 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e9e6488190ba8df92c8058ed88 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:58 a.m.