Triple
T9119124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yamaloka |
E218799
|
entity |
| Predicate | contrastedWith |
P278
|
FINISHED |
| Object | Naraka |
E344091
|
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: Naraka | Statement: [Yamaloka, contrastedWith, Naraka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naraka Context triple: [Yamaloka, contrastedWith, Naraka]
-
A.
Naraka
chosen
Naraka is the concept of an underworld or hell in several Indian religions, where souls undergo punishment or purification after death.
-
B.
Yama Jigoku
Yama Jigoku is one of Beppu’s famous “hell” hot spring sites, known for its boiling, vividly colored pools and dramatic geothermal scenery.
-
C.
Umi Jigoku
Umi Jigoku is one of Beppu’s famous “hell” hot springs in Japan, known for its striking cobalt-blue boiling water and scenic, geothermal landscape.
-
D.
Dahāk
Dahāk is an alternative name for Zahhak, the monstrous tyrant from Persian mythology and literature who is often depicted with serpents growing from his shoulders.
-
E.
Oniishibozu Jigoku
Oniishibozu Jigoku is one of Beppu’s famous “hell” hot spring sites, known for its bubbling, mud-like pools that resemble the shaved heads of Buddhist monks.
- 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_69ca83dddd548190983b96c664f7f367 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8a7c6d48190a015efd17a017ca1 |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0544c06ec8190917707d75db7e9c5 |
completed | April 3, 2026, 11:59 p.m. |
Created at: March 30, 2026, 7:17 p.m.