Triple
T6906095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adlershof |
E159815
|
entity |
| Predicate | hasMediaProductionFacilities |
P38458
|
FINISHED |
| Object | television studios |
—
|
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: television studios | Statement: [Adlershof, hasMediaProductionFacilities, television studios]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMediaProductionFacilities Context triple: [Adlershof, hasMediaProductionFacilities, television studios]
-
A.
majorProductionHub
Indicates that a location serves as a primary center where large-scale production or manufacturing activities are concentrated.
-
B.
hasMediaFacilities
chosen
Indicates that an entity possesses or provides access to media-related infrastructure or equipment (such as studios, recording, broadcasting, or production facilities).
-
C.
hasProduction
Indicates that an entity is associated with, or responsible for, the creation or manufacture of another entity or product.
-
D.
hasMediaCompany
Indicates that one entity owns, controls, or is formally associated with a media company.
-
E.
hasProductionCompany
Indicates that an entity (such as a film, show, or media work) is associated with a specific company responsible for its production.
- 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_69c68839ccb88190b4aa5cc1aca3448f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d98c3ab08190a1830c45578056ac |
completed | March 27, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b7681481909ec50509b19fcf81 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:25 p.m.