Triple
T35715022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rao Siha |
E1031978
|
entity |
| Predicate | stateInPresentDay |
P3475
|
FINISHED |
| Object | Rajasthan |
—
|
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: Rajasthan | Statement: [Rao Siha, stateInPresentDay, Rajasthan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateInPresentDay Context triple: [Rao Siha, stateInPresentDay, Rajasthan]
-
A.
stateCurrently
Indicates that something is in a particular state or condition at the present moment.
-
B.
contemporaryState
Indicates that two entities exist or occur during the same time period or historical era.
-
C.
partOfPresentDay
chosen
Indicates that one entity is a component, region, or subset of what constitutes the other entity in its current, modern-day form.
-
D.
modernState
Indicates that an entity functions as a contemporary, currently existing state or nation in the modern era.
-
E.
presentDayProvince
Indicates that one entity is the present-day administrative province in which the other entity is currently located or to which it now belongs.
- 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_69f76e0df1d08190965b1c6dff94c391 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fecb4d02f881909a9ee97ce98000d5 |
completed | May 9, 2026, 5:51 a.m. |
| PD | Predicate disambiguation | batch_69fec9846c1c8190b317f0711f0755db |
completed | May 9, 2026, 5:43 a.m. |
Created at: May 3, 2026, 4:05 p.m.