Triple
T20836028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Željo |
E512960
|
entity |
| Predicate | associatedClubOrigin |
P142018
|
FINISHED |
| Object | founded by railway workers |
—
|
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: founded by railway workers | Statement: [Željo, associatedClubOrigin, founded by railway workers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedClubOrigin Context triple: [Željo, associatedClubOrigin, founded by railway workers]
-
A.
associatedClubOwner
Indicates that there is an ownership or proprietorship relationship between a club and its associated owner.
-
B.
associatedClubState
Indicates that there is a relationship between an entity and the state-level club or organization with which it is formally connected or affiliated.
-
C.
associatedClubStatus
Indicates the status or condition of a club as it relates to a particular entity or relationship.
-
D.
associatedClubShortName
Indicates that there is a relationship linking an entity to the abbreviated or short name of a club with which it is associated.
-
E.
associatedClubFounded
Indicates that there exists a club associated with an entity and specifies the date or time at which that associated club was founded.
- 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_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c326daec8190bd4caa41a4b38833 |
completed | April 21, 2026, 12:21 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a1f4f48190aa9fb4ef8f8aea5a |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53c4d6881909b4d0a716fa5ed4a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:42 p.m.