Triple
T37923179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kobanyai TC youth team |
E946018
|
entity |
| Predicate | youthDepartmentOf |
P1467
|
FINISHED |
| Object | Kőbányai Torna Club |
—
|
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: Kőbányai Torna Club | Statement: [Kobanyai TC youth team, youthDepartmentOf, Kőbányai Torna Club]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: youthDepartmentOf Context triple: [Kobanyai TC youth team, youthDepartmentOf, Kőbányai Torna Club]
-
A.
ministerialDepartmentOf
Indicates that one entity is a ministerial department that is formally part of, and subordinate to, another governing body or jurisdiction.
-
B.
laterDepartment
Indicates that one department occurs or is considered after another in a defined ordering or sequence.
-
C.
cityDepartment
Indicates that one entity is a department that operates within, or is administratively part of, a particular city.
-
D.
typeOfMinistry
Indicates the specific category or kind of ministry that an entity belongs to or represents.
-
E.
department
chosen
Indicates that one entity functions as an organizational unit or division within another, typically larger, 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_69f76ef3b7248190892fb9706423be7c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc995dc2481908b3bd4217f8101e7 |
completed | May 6, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ee04f08190977b7ad70fc85896 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:20 p.m.