Triple
T29298515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pandya king of Madurai |
E742897
|
entity |
| Predicate | textualOrigin |
P10578
|
FINISHED |
| Object | Cilappatikaram, one of the Five Great Epics of Tamil literature |
—
|
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: Cilappatikaram, one of the Five Great Epics of Tamil literature | Statement: [Pandya king of Madurai, textualOrigin, Cilappatikaram, one of the Five Great Epics of Tamil literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textualOrigin Context triple: [Pandya king of Madurai, textualOrigin, Cilappatikaram, one of the Five Great Epics of Tamil literature]
-
A.
originalLanguageText
Indicates that a text is expressed in its original, untranslated language.
-
B.
originalTextLanguage
Indicates the language in which a text was originally written or created before any translation or adaptation.
-
C.
originalText
Indicates that one text is the initial, unmodified version from which other versions, translations, or representations are derived.
-
D.
originalTextOn
Indicates that a piece of original text is physically or logically located on a particular medium, surface, or object.
-
E.
literarySource
chosen
Indicates that one entity serves as the written or literary origin, reference, or basis for 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_69f0912323c48190b9a24ef8cf359225 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f665a083548190ae8b9c9203dcf3b0 |
completed | May 2, 2026, 8:59 p.m. |
| PD | Predicate disambiguation | batch_69f660f2e3708190ab658652bcfc04d0 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 1:08 p.m.