Triple
T5583048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narasimha |
E146684
|
entity |
| Predicate | placeOfKilling |
P64889
|
FINISHED |
| Object | threshold of a palace |
—
|
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: threshold of a palace | Statement: [Narasimha, placeOfKilling, threshold of a palace]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeOfKilling Context triple: [Narasimha, placeOfKilling, threshold of a palace]
-
A.
placeOfExecution
Indicates the location where an execution or carrying out of a sentence, order, or legal punishment took place.
-
B.
notableMassKillingSite
Indicates that a place is recognized as a significant location where a mass killing or massacre occurred.
-
C.
assassinatedIn
Indicates that an assassination of one entity occurred within the specified location or context represented by another entity.
-
D.
typeOfKilling
Indicates a specific manner, method, or category of killing that characterizes how the killing was carried out.
-
E.
assassinationAttemptLocation
Indicates the place where an attempted assassination occurred or was intended to occur.
- 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_69c0090287a08190b4098411effe970c |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0208333f08190bf0049b6bdd280f5 |
completed | March 22, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69c01b16b9bc8190ab0b945507d90e05 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f4032408190a4f0d2eb21ebd870 |
completed | March 22, 2026, 4:56 p.m. |
Created at: March 22, 2026, 3:37 p.m.