Triple
T17244989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vatteluttu |
E418598
|
entity |
| Predicate | notableScriptVariantOf |
P51273
|
FINISHED |
| Object | Tamil script tradition |
—
|
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: Tamil script tradition | Statement: [Vatteluttu, notableScriptVariantOf, Tamil script tradition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableScriptVariantOf Context triple: [Vatteluttu, notableScriptVariantOf, Tamil script tradition]
-
A.
scriptVariantOf
chosen
Indicates that one script is a variant or alternative form of another script, typically differing in style, region, or historical development while remaining closely related.
-
B.
notableFilmVersion
Indicates that one work is a film adaptation or version of another work that is considered particularly notable or significant.
-
C.
notableVariation
Indicates that one entity represents a significant or noteworthy deviation or difference from another entity within a given context.
-
D.
playsVariantOf
Indicates that one entity performs, uses, or engages with a version or adaptation of another entity, typically differing in form, rules, or style from the original.
-
E.
famousVariant
Indicates that one entity is a well-known or widely recognized version or form of 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e22fb2c8190aea5d3872095bf46 |
completed | April 19, 2026, 1:21 a.m. |
| PD | Predicate disambiguation | batch_69e3832553ac819091aa917c84f755b6 |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:39 a.m.