Triple
T35341318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Górnik Wałbrzych |
E1020603
|
entity |
| Predicate | clubIdentityLinkedTo |
P74143
|
FINISHED |
| Object | Wałbrzych's mining heritage |
—
|
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: Wałbrzych's mining heritage | Statement: [Górnik Wałbrzych, clubIdentityLinkedTo, Wałbrzych's mining heritage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubIdentityLinkedTo Context triple: [Górnik Wałbrzych, clubIdentityLinkedTo, Wałbrzych's mining heritage]
-
A.
associatedClub2
Indicates that an entity has a secondary or additional affiliation or membership with a particular club.
-
B.
refersToClubIdentity
Indicates that one entity is referencing, invoking, or otherwise making use of the identity, name, or defining characteristics of a particular club.
-
C.
associatedClub1
Indicates that an entity has a primary or first-listed association with a particular club or organization.
-
D.
affiliatedClubOf
Indicates that one entity is a club with which another entity is formally associated or connected.
-
E.
associatedWithTeamIdentity
chosen
Indicates that an entity has a connection or relevance to the identity, branding, or defining characteristics of a particular team.
- 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_69f76debb4e08190be52d89b8af2392d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f79533b88c8190934ec4cb21770e24 |
completed | May 3, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f79104f5b48190a496cdffde8472da |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.