Triple
T19596973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naga (Hindu mythology) |
E470371
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object |
Kaliya
Kaliya is a venomous serpent (naga) from Hindu mythology best known for being subdued and danced upon by the god Krishna in the Yamuna River.
|
E1385949
|
NE FINISHED |
How this triple was built (4 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: Kaliya | Statement: [Naga (Hindu mythology), notableMember, Kaliya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaliya Context triple: [Naga (Hindu mythology), notableMember, Kaliya]
-
A.
Kalyar
Kalyar is a notable Sufi pilgrimage town in India associated with the Chishti Order and revered for its prominent dargah (shrine).
-
B.
Kundla
Kundla is a surname most notably associated with John Kundla, the Hall of Fame head coach who led the Minneapolis Lakers to multiple early NBA championships.
-
C.
Keriya
Keriya is an oasis town and county in southwestern Xinjiang, China, situated along the historic Silk Road in the Tarim Basin.
-
D.
Napareuli
Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
-
E.
Magarima
Magarima is a small town in Papua New Guinea’s Hela Province, serving as a local administrative and service center for surrounding rural communities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kaliya Triple: [Naga (Hindu mythology), notableMember, Kaliya]
Generated description
Kaliya is a venomous serpent (naga) from Hindu mythology best known for being subdued and danced upon by the god Krishna in the Yamuna River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kaliya Target entity description: Kaliya is a venomous serpent (naga) from Hindu mythology best known for being subdued and danced upon by the god Krishna in the Yamuna River.
-
A.
Kalyar
Kalyar is a notable Sufi pilgrimage town in India associated with the Chishti Order and revered for its prominent dargah (shrine).
-
B.
Kundla
Kundla is a surname most notably associated with John Kundla, the Hall of Fame head coach who led the Minneapolis Lakers to multiple early NBA championships.
-
C.
Keriya
Keriya is an oasis town and county in southwestern Xinjiang, China, situated along the historic Silk Road in the Tarim Basin.
-
D.
Napareuli
Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
-
E.
Magarima
Magarima is a small town in Papua New Guinea’s Hela Province, serving as a local administrative and service center for surrounding rural communities.
- F. None of above. chosen
Provenance (5 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6407b997881909762c8f919c9cdad |
completed | April 20, 2026, 3:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0771ab9d548190841ef3bce61c3571 |
completed | May 15, 2026, 7:19 p.m. |
| NEDg | Description generation | batch_6a07728da308819098af49160af0f1e0 |
completed | May 15, 2026, 7:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0772e394fc8190b96fe74de6f5fdea |
completed | May 15, 2026, 7:24 p.m. |
Created at: April 10, 2026, 1:43 p.m.