Triple
T23240198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kankali Tila |
E581417
|
entity |
| Predicate | contributedToStudyOf |
P145293
|
FINISHED |
| Object | early Jain iconography |
—
|
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: early Jain iconography | Statement: [Kankali Tila, contributedToStudyOf, early Jain iconography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contributedToStudyOf Context triple: [Kankali Tila, contributedToStudyOf, early Jain iconography]
-
A.
isSubjectOfStudy
Indicates that an entity is the focus or topic being examined, researched, or analyzed in a study or investigation.
-
B.
studiedWithin
Indicates that one entity pursued studies or academic work within the scope, context, or boundaries defined by another entity (such as an institution, program, or field).
-
C.
conductedResearchOn
chosen
Indicates that an entity has performed or carried out research concerning another entity or topic.
-
D.
alsoStudied
Indicates that an entity pursued additional studies in another subject, field, or institution besides a primary one.
-
E.
studiedBy
Indicates that a subject (such as a field, topic, or object) is examined, researched, or learned by an agent (such as a person or group).
- 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_69e2460556f88190be1744a84a84173f |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192ecc7e481908cac59df5c0deea1 |
completed | April 29, 2026, 5:11 a.m. |
| PD | Predicate disambiguation | batch_69effcdadec0819092ec1749ee453b4e |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:10 p.m.