Triple
T37438727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hertha BSC II |
E930350
|
entity |
| Predicate | developsForTeam |
P23778
|
FINISHED |
| Object | Hertha BSC first team |
—
|
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: Hertha BSC first team | Statement: [Hertha BSC II, developsForTeam, Hertha BSC first team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: developsForTeam Context triple: [Hertha BSC II, developsForTeam, Hertha BSC first team]
-
A.
developmentTeamFor
chosen
Indicates the team responsible for developing or building a particular product, project, or system.
-
B.
developsOn
Indicates that one entity grows, forms, or emerges upon or within the surface or structure of another entity.
-
C.
usedForTeam
Indicates that something is utilized or designated for use by a particular team.
-
D.
developsComponentFor
Indicates that one entity creates or builds a component intended to be used by or within another entity.
-
E.
developedWithin
Indicates that something was created, produced, or brought into existence inside a specified context, boundary, or time frame.
- 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_69f76ebfdcb8819098562ff3db673b04 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fde5d7d9548190880a9d95b8f0f66b |
completed | May 8, 2026, 1:32 p.m. |
| PD | Predicate disambiguation | batch_69fde4e1bf9c81909754545275eccc03 |
completed | May 8, 2026, 1:28 p.m. |
Created at: May 3, 2026, 4:17 p.m.