Triple
T24378976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rajadhiraja I |
E614556
|
entity |
| Predicate | styleInInscriptions |
P155981
|
FINISHED |
| Object | Rajakesarivarman |
—
|
NE NERFINISHED |
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: Rajakesarivarman | Statement: [Rajadhiraja I, styleInInscriptions, Rajakesarivarman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: styleInInscriptions Context triple: [Rajadhiraja I, styleInInscriptions, Rajakesarivarman]
-
A.
materialTypicallyInscribedOn
Indicates the material that is most commonly used as the surface or medium on which something is inscribed.
-
B.
scriptOfInscription
Indicates the writing system or script in which a given inscription is written.
-
C.
oftenDepictedWithInscription
Indicates that the subject is frequently shown or represented together with a written inscription.
-
D.
epigraphicType
Indicates the specific kind or category of an inscription as classified in epigraphic studies.
-
E.
sculptorInscription
Indicates that an inscription identifies the sculptor responsible for creating a particular sculpture or artwork.
- 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_69e2d7e362e481909e32fe4ef8269d4f |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f293da489c81909a7912b790be8b8a |
completed | April 29, 2026, 11:27 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f28f4d978c81908310c01def2514cc |
completed | April 29, 2026, 11:07 p.m. |
Created at: April 18, 2026, 2:02 a.m.