Triple
T4906504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bharata |
E109923
|
entity |
| Predicate | journeyedTo |
P2694
|
FINISHED |
| Object | Chitrakuta to meet Rama |
—
|
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: Chitrakuta to meet Rama | Statement: [Bharata, journeyedTo, Chitrakuta to meet Rama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: journeyedTo Context triple: [Bharata, journeyedTo, Chitrakuta to meet Rama]
-
A.
journeyDestination
Indicates that one entity serves as the endpoint or intended destination of another entity’s journey or travel.
-
B.
wentTo
chosen
Indicates that one entity traveled or moved from its original location to another specified place.
-
C.
journeyFrom
Indicates that an entity undertakes or originates a journey starting from a specified location or source.
-
D.
touredIn
Indicates that an entity traveled to and visited a particular place, typically as part of a tour or series of visits.
-
E.
voyagedNear
Indicates that one entity traveled by sea or space in close proximity to another entity or location.
- 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_69bd441180708190ba42ffb44fea533a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e72ed5c819081104c99a398e0af |
completed | March 20, 2026, 3:57 p.m. |
| PD | Predicate disambiguation | batch_69bd6c325e188190823836d79934e9bc |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:29 p.m.