Triple
T3176983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mumtaz Mahal |
E66486
|
entity |
| Predicate | placeOfDeathContext |
P21
|
FINISHED |
| Object | on a military campaign in the Deccan |
—
|
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: on a military campaign in the Deccan | Statement: [Mumtaz Mahal, placeOfDeathContext, on a military campaign in the Deccan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeOfDeathContext Context triple: [Mumtaz Mahal, placeOfDeathContext, on a military campaign in the Deccan]
-
A.
placeOfDeath
chosen
Indicates the location where an entity (typically a person or animal) died.
-
B.
placeOfCessation
Indicates the location where an entity’s existence, activity, or state comes to an end.
-
C.
deathDescribedIn
Indicates that a person's death is documented, narrated, or otherwise detailed within a particular source or description.
-
D.
bodyLocationAfterDeath
Indicates the location or position of an entity’s body after its death.
-
E.
deathPlace_uncertain
Indicates that the place where an entity died is not known with certainty or is disputed.
- 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_69ad8586a34c8190944c63ec11a8de1a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada69b0bec8190957913b44d876079 |
completed | March 8, 2026, 4:40 p.m. |
| PD | Predicate disambiguation | batch_69ad9e02677c8190a21d93b1259b2761 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:06 p.m.