Triple
T28026646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rao of Marwar |
E708140
|
entity |
| Predicate | capitalDuringUse |
P70941
|
FINISHED |
| Object | Jodhpur |
—
|
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: Jodhpur | Statement: [Rao of Marwar, capitalDuringUse, Jodhpur]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capitalDuringUse Context triple: [Rao of Marwar, capitalDuringUse, Jodhpur]
-
A.
capitalSince
Indicates that an entity has served as the capital of another entity starting from a specified point in time.
-
B.
capitalUse
Indicates the use or application of financial capital by one entity in relation to another entity or activity.
-
C.
capitalDuringAdministration
Indicates that a particular city or location served as the capital during a specified political administration or governing term.
-
D.
usedCapital
chosen
Indicates that an entity made use of a particular capital city as its seat of government or primary administrative center.
-
E.
capitalRenamedFrom
Indicates that a capital city previously had a different name, specifying the former name from which it was renamed.
- 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_69ef9b6bdd9c8190bb3a574a03774ad1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f6b903538481909cffcb6cc1cc0e70 |
completed | May 3, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
Created at: April 27, 2026, 8:13 p.m.