Triple
T29333700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sahodhari |
E743848
|
entity |
| Predicate | hasScriptWritingLanguage |
P35286
|
FINISHED |
| Object | Tamil |
—
|
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: Tamil | Statement: [Sahodhari, hasScriptWritingLanguage, Tamil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScriptWritingLanguage Context triple: [Sahodhari, hasScriptWritingLanguage, Tamil]
-
A.
alsoWrittenIn
Indicates that the same content, work, or information is expressed or available in an additional language, script, or writing system.
-
B.
usesScriptWritingLanguage
Indicates that one entity employs or utilizes a particular script-writing language for writing scripts or screenplays.
-
C.
associatedLanguageScript
Indicates that there is a relationship between a language and the script or writing system used to represent it.
-
D.
screenplayLanguage
chosen
Indicates the language in which a screenplay is written or primarily expressed.
-
E.
filmedInLanguage
Indicates that a film or video work was originally recorded using a particular spoken or signed language.
- 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_69f09126cfcc8190899b16fbf3c2bf7b |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
Created at: April 28, 2026, 1:30 p.m.