Triple
T38663945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mughal Subah of Agra |
E940403
|
entity |
| Predicate | hadOfficialScript |
P4434
|
FINISHED |
| Object | Perso-Arabic script |
—
|
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: Perso-Arabic script | Statement: [Mughal Subah of Agra, hadOfficialScript, Perso-Arabic script]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadOfficialScript Context triple: [Mughal Subah of Agra, hadOfficialScript, Perso-Arabic script]
-
A.
officialScriptOf
chosen
Indicates that one writing system is formally designated as the standard or legally recognized script used for a particular language, region, or entity.
-
B.
notOfficialScriptFor
Indicates that a given writing system is explicitly not recognized or used as the official script for a particular language or entity.
-
C.
hasScriptOfAdministration
Indicates that an entity uses or follows a particular script, method, or protocol for administering something (e.g., a drug, treatment, or procedure).
-
D.
hasNotableScript
Indicates that an entity is associated with a script (such as a writing system or screenplay) that is considered notable or significant.
-
E.
formerScript
Indicates that an entity previously served as the script or writing system for another entity, but is no longer used in that role.
- 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_69f76edfde348190bf6529d9f49ecd62 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:33 p.m.