Triple
T11025414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rishabhanatha |
E260604
|
entity |
| Predicate | timeCycleRole |
P97348
|
FINISHED |
| Object | first Tirthankara of the current time cycle |
—
|
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: first Tirthankara of the current time cycle | Statement: [Rishabhanatha, timeCycleRole, first Tirthankara of the current time cycle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeCycleRole Context triple: [Rishabhanatha, timeCycleRole, first Tirthankara of the current time cycle]
-
A.
trackRole
Indicates that an entity holds or performs a specific role within the context of a particular track or sequence of activities.
-
B.
cycleCharacter
Indicates that one character in a sequence is followed by another in a repeating (cyclic) order.
-
C.
roleInTauris
Indicates that an entity has a specific role or function within the context of Tauris (e.g., a work, setting, or domain associated with Tauris).
-
D.
timeLoopMechanism
Indicates a relationship where events or states are repeatedly reset or cycled through the same temporal sequence due to a mechanism that loops time.
-
E.
cycleType
Indicates the specific kind or category of cycle involved in a repeated or cyclical process or relationship.
- F. None of above. chosen
Provenance (4 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797bf78a48190a37b423812827d4e |
completed | April 9, 2026, 12:12 p.m. |
| PD | Predicate disambiguation | batch_69d7440087ac8190aef2e6f6b13b2635 |
completed | April 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69d750c99f9881908ee2b01b6ce4b3a1 |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:25 p.m.