Triple
T23794486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odisha |
E588495
|
entity |
| Predicate | officialScriptOfOdia |
P4434
|
FINISHED |
| Object | Odia script |
—
|
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: Odia script | Statement: [Odisha, officialScriptOfOdia, Odia script]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officialScriptOfOdia Context triple: [Odisha, officialScriptOfOdia, Odia 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.
titleInOdiaScript
Indicates that the title of an entity is expressed or recorded in the Odia (Oriya) script.
-
C.
scriptForSikhReligiousTexts
Indicates the script or writing system used to write Sikh religious texts.
-
D.
titleInBengaliScript
Indicates that the title of an entity is written or represented in the Bengali script.
-
E.
languageOfScriptPromoted
Indicates that a particular language is associated with and promoted through the use of a given writing script.
- 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_69e25d15db58819092ac1e6791696fd9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c6db34588190b05a44d1333fe177 |
completed | April 29, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:43 p.m.