Triple
T12305593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | coat of arms of the Chuvash Republic |
E293342
|
entity |
| Predicate | scriptUsedInInscription |
P22774
|
FINISHED |
| Object | Cyrillic |
—
|
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: Cyrillic | Statement: [coat of arms of the Chuvash Republic, scriptUsedInInscription, Cyrillic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptUsedInInscription Context triple: [coat of arms of the Chuvash Republic, scriptUsedInInscription, Cyrillic]
-
A.
scriptOfInscription
chosen
Indicates the writing system or script in which a given inscription is written.
-
B.
scriptUsedOnCoins
Indicates that a particular writing system or script is used on the inscriptions appearing on coins.
-
C.
scriptOnSeal
Indicates that written characters or inscriptions are present on the surface of a seal.
-
D.
mentionedInInscription
Indicates that an entity is referenced or named within a specific inscription or inscribed text.
-
E.
inscriptionUsedWith
Indicates that a particular inscription is employed together with, or in association with, another object, tool, or context in which it is applied or interpreted.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec02c008190a56aae60a3d9eff6 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.