Triple
T17258838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinvat Bridge |
E418954
|
entity |
| Predicate | judgmentBy |
P46345
|
FINISHED |
| Object | Rashnu |
E775063
|
NE 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: Rashnu | Statement: [Chinvat Bridge, judgmentBy, Rashnu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rashnu Context triple: [Chinvat Bridge, judgmentBy, Rashnu]
-
A.
Rashnu
chosen
Rashnu is a Zoroastrian deity of justice and truth who weighs the souls of the dead to determine their fate in the afterlife.
-
B.
Raakh
Raakh is a 1989 Indian neo-noir crime drama film, acclaimed for its gritty storytelling and performances, and regarded as a cult classic in Hindi cinema.
-
C.
Sutikshna
Sutikshna is a sage in the Aranya Kanda of the Ramayana, known for offering hospitality and guidance to Rama, Sita, and Lakshmana during their exile in the forest.
-
D.
Rushani
Rushani is an Eastern Iranian language spoken primarily in the Rushan region of Tajikistan and neighboring areas.
-
E.
Rahesuk
Rahesuk is a local language spoken in and around Vila Maumeta, likely belonging to the indigenous linguistic landscape of that region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e6ea7588190a94d222504a8cef5 |
completed | April 19, 2026, 1:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170ff6818819090077dc4a7b774ae |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:39 a.m.