Triple
T17829270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nadira Banu Begum |
E445205
|
entity |
| Predicate | remainedWith |
P125558
|
FINISHED |
| Object | Dara Shikoh during his flight after defeat |
—
|
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: Dara Shikoh during his flight after defeat | Statement: [Nadira Banu Begum, remainedWith, Dara Shikoh during his flight after defeat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: remainedWith Context triple: [Nadira Banu Begum, remainedWith, Dara Shikoh during his flight after defeat]
-
A.
remainedIn
Indicates that an entity stayed within or continued to be located in a particular place or state for a period of time.
-
B.
staysWith
chosen
Indicates that one entity remains in the company or presence of another entity for a period of time.
-
C.
keptWith
Indicates that one entity is stored, maintained, or held together in association with another entity.
-
D.
lastRemnantOf
Indicates that one entity is the sole remaining instance or surviving part of another entity, after all similar or related instances have disappeared.
-
E.
remainsLitDuring
Indicates that one entity continues to emit light or stay illuminated throughout the duration of another specified event or condition.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4891696cc819092ee6db7c4a6fae1 |
completed | April 19, 2026, 7:49 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e266888190ae976b4b7d5b886f |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:15 a.m.