Triple
T19596972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naga (Hindu mythology) |
E470371
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object | Takshaka |
—
|
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: Takshaka | Statement: [Naga (Hindu mythology), notableMember, Takshaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Takshaka Context triple: [Naga (Hindu mythology), notableMember, Takshaka]
-
A.
Takshaka
chosen
Takshaka is a prominent serpent king (naga) in Hindu mythology, best known for killing King Parikshit and thereby becoming the central target of King Janamejaya’s great snake sacrifice.
-
B.
Tundla
Tundla is a town in the Indian state of Uttar Pradesh known primarily as a major railway junction and transit hub in the Braj cultural region.
-
C.
Tindwari
Tindwari is a town and administrative settlement located in the Banda district of Uttar Pradesh, India.
-
D.
Banjara
Banjara are a traditionally nomadic tribal community of India known for their vibrant attire, folk traditions, and history as traders and transporters.
-
E.
Bhabra
Bhabra is a town in the Alirajpur district of Madhya Pradesh, India, known as the birthplace of Indian revolutionary Chandra Shekhar Azad.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6407b997881909762c8f919c9cdad |
completed | April 20, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:43 p.m.