Triple
T12541042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adikavi Nannaya University |
E299837
|
entity |
| Predicate | languageOfNamesake |
P105791
|
FINISHED |
| Object | Telugu |
—
|
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: Telugu | Statement: [Adikavi Nannaya University, languageOfNamesake, Telugu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfNamesake Context triple: [Adikavi Nannaya University, languageOfNamesake, Telugu]
-
A.
birthNameMeaning
Indicates the semantic meaning or significance associated with a person's birth name.
-
B.
nameEtymologyFor
Indicates that one entity expresses or explains the origin or derivation of the name of another entity.
-
C.
possibleNameEtymology
Indicates a hypothesized or suggested origin or derivation of an entity’s name from another term, source, or linguistic root.
-
D.
hasAncestralFamilyNameMeaning
Indicates that an entity’s ancestral family name carries a specific meaning or significance.
-
E.
nameMeaningLanguage
Indicates that a specified meaning of a name is expressed or interpreted in a particular language.
- F. None of above. chosen
Provenance (4 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d9540d7b788190a0d57b098e90e491 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d95f5148948190946a575d812b329d |
completed | April 10, 2026, 8:36 p.m. |
Created at: April 8, 2026, 9:57 p.m.