Triple
T37235414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Die Werkself |
E923558
|
entity |
| Predicate | usedByMediaOfCountry |
P119109
|
FINISHED |
| Object | Germany |
—
|
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: Germany | Statement: [Die Werkself, usedByMediaOfCountry, Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedByMediaOfCountry Context triple: [Die Werkself, usedByMediaOfCountry, Germany]
-
A.
usedByMedia
Indicates that something is employed or utilized by media organizations or media-related channels.
-
B.
usedByMediaIn
Indicates that something is employed or utilized within a particular media work or medium.
-
C.
usedByCountriesWith
Indicates that something (such as an item, system, or practice) is utilized or employed by one or more specified countries in common.
-
D.
usedByMediaToReferTo
chosen
Indicates that a particular name, term, or label is employed by media sources to refer to a given entity.
-
E.
commonlyUsedInMediaOf
Indicates that something is frequently employed or featured within a particular medium or type of media.
- 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_69f76ea9fee88190a589f661d95a7189 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd7fdafbe881908a31fcb407af2c34 |
completed | May 8, 2026, 6:16 a.m. |
| PD | Predicate disambiguation | batch_69fd7ef0ea908190b5d83f71565bdb1c |
completed | May 8, 2026, 6:13 a.m. |
Created at: May 3, 2026, 4:15 p.m.