Triple
T4533372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabha Parva |
E106348
|
entity |
| Predicate | textualPosition |
P1637
|
FINISHED |
| Object | second book of the Mahabharata |
—
|
LITERAL 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: second book of the Mahabharata | Statement: [Sabha Parva, textualPosition, second book of the Mahabharata]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textualPosition Context triple: [Sabha Parva, textualPosition, second book of the Mahabharata]
-
A.
positionOnLine
Indicates that one entity occupies a specific location along a defined line or linear path in relation to another.
-
B.
currentPosition
Indicates the present role, job, or status an entity currently holds within a given context.
-
C.
refersToPosition
Indicates that one entity makes reference to, or is associated with, a specific position or location of another entity.
-
D.
lastPrintableCharacter
Indicates that one character is the final non-whitespace (or otherwise displayable) character in a given sequence or string.
-
E.
locationInDocument
chosen
Indicates that one entity specifies where another entity is situated or referenced within a document.
- F. None of above.
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_69bd43f3d6e08190a91824f833d51bbe |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57a08ec4819091b84d53d7b564a7 |
completed | March 20, 2026, 2:20 p.m. |
| PD | Predicate disambiguation | batch_69bd521edd00819099dfccaa65dddd61 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:04 p.m.