Triple
T29966052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | coat of arms of Schorndorf |
E761183
|
entity |
| Predicate | hasRightHolder |
P7802
|
FINISHED |
| Object | municipality of Schorndorf |
—
|
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: municipality of Schorndorf | Statement: [coat of arms of Schorndorf, hasRightHolder, municipality of Schorndorf]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRightHolder Context triple: [coat of arms of Schorndorf, hasRightHolder, municipality of Schorndorf]
-
A.
hasCopyrightHolder
Indicates that a specified entity holds the legal copyright ownership or rights over another entity.
-
B.
rightHolder
chosen
Indicates that one entity holds or possesses a legal or contractual right in relation to another entity or resource.
-
C.
holderIs
Indicates that one entity serves as the holder, possessor, or container of another entity.
-
D.
hasFranchiseRightsholder
Indicates that one entity holds the legal or contractual rights to operate, manage, or exploit a particular franchise owned by another entity.
-
E.
hasBroadcastRightsHolder
Indicates that one entity holds the legal rights to broadcast content owned or controlled by another 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_69f22466327481908ba6db916837bece |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: April 29, 2026, 6:30 p.m.