Triple
T1473325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hijra |
E27184
|
entity |
| Predicate | coreThemeIn |
P6627
|
FINISHED |
| Object | Sira literature |
—
|
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: Sira literature | Statement: [Hijra, coreThemeIn, Sira literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coreThemeIn Context triple: [Hijra, coreThemeIn, Sira literature]
-
A.
themeFor
Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
-
B.
editorialTheme
Indicates a relationship where an editorial work is associated with a specific overarching theme or subject focus that guides its content and presentation.
-
C.
hasCentralTheme
chosen
Indicates that one entity serves as the primary or dominant theme or subject matter of another entity.
-
D.
primaryLogoTheme
Indicates the main stylistic or visual design theme associated with a logo.
-
E.
themeExamples
Indicates that the related entity serves as an example or illustration of the theme expressed by the subject.
- 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_69a496d25d6881909dbd84f86d763992 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c5ff8dbc81909eafcfc9f2260a22 |
completed | March 1, 2026, 11:04 p.m. |
| PD | Predicate disambiguation | batch_69a4c48350d88190a81bd149103f93e3 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:01 p.m.