Triple
T18398887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vedic pantheon |
E449938
|
entity |
| Predicate | hasDeity |
P5606
|
FINISHED |
| Object | Apsaras |
—
|
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: Apsaras | Statement: [Vedic pantheon, hasDeity, Apsaras]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apsaras Context triple: [Vedic pantheon, hasDeity, Apsaras]
-
A.
Apsaras
chosen
Apsaras are celestial nymphs in Hindu and Buddhist mythology, renowned for their beauty, grace, and skill in dance and music, who often serve as divine entertainers in heavenly realms.
-
B.
Apsat
Apsat is a deity from the mythology of the Caucasus region, often associated with hunting and wild animals.
-
C.
Zuras
Zuras is a powerful Eternal in Marvel Comics, often depicted as the wise and authoritative leader of the Eternals and father of Thena.
-
D.
Assas
Assas is the commonly used short name for Université Paris 2 Panthéon-Assas, a prestigious French university renowned for its law and social sciences programs.
-
E.
Atraulia
Atraulia is a town in the Azamgarh district of Uttar Pradesh, India, known as a local administrative and market center for surrounding rural areas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e518499b1481909c5de786c48faeba |
completed | April 19, 2026, 6 p.m. |
Created at: April 10, 2026, 10:46 a.m.