Triple
T2292725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mithila region |
E51540
|
entity |
| Predicate | historicalKingdom |
P20193
|
FINISHED |
| Object | Videha |
E249629
|
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: Videha | Statement: [Mithila region, historicalKingdom, Videha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Videha Context triple: [Mithila region, historicalKingdom, Videha]
-
A.
Videha
chosen
Videha was an ancient Indo-Aryan kingdom in the eastern Indian subcontinent, centered in the Mithila region and known from Vedic and later religious traditions.
-
B.
Jagati
Jagati is a classical Vedic poetic meter characterized by longer lines, commonly used in hymns of the Rigveda.
-
C.
Deva
Deva is the Roman-era name for the ancient fortress and settlement that later became the modern English city of Chester.
-
D.
Saravanabhava
Saravanabhava is an epithet of the Hindu god Kartikeya (Murugan), highlighting his mythological birth in the reeds of the Saravana lake.
-
E.
Vaisesika
Vaisesika is one of the six classical schools of Indian philosophy, known for its atomistic metaphysics and detailed categorization of reality.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc5b50df481908a3d8f71d245e8fa |
completed | March 7, 2026, 6:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f23ca34819091d2bb0d41613b4a |
completed | March 9, 2026, 8:04 a.m. |
Created at: March 4, 2026, 7:48 p.m.