Triple
T38057083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Stadionclub |
E950233
|
entity |
| Predicate | fullNameOfReferredTeam |
P7598
|
FINISHED |
| Object | Feyenoord Rotterdam |
—
|
NE NERFINISHED |
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: Feyenoord Rotterdam | Statement: [De Stadionclub, fullNameOfReferredTeam, Feyenoord Rotterdam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fullNameOfReferredTeam Context triple: [De Stadionclub, fullNameOfReferredTeam, Feyenoord Rotterdam]
-
A.
teamNameRefersTo
Indicates that a given team name designates or refers to a specific team entity.
-
B.
personReferredToWhaTeam
Indicates that a person has been referred or directed to a specific WHA (likely "Workplace Health Assessment" or similar) team for attention, services, or follow-up.
-
C.
associatedTeamName
Indicates the name of the team that is linked or connected to a given entity.
-
D.
teamName
chosen
Indicates the relationship that assigns or associates a specific name with a particular team.
-
E.
formerTeam2Name
Indicates that an entity was previously associated with a second former team identified by this name.
- 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_69f76f01e63c819093b6012fc974f35a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc44c7e73c819082d4fc1900fb9632 |
completed | May 7, 2026, 7:52 a.m. |
| PD | Predicate disambiguation | batch_69fbc8efffbc8190a139798ad1880526 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:21 p.m.