Triple
T25654989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baksho Rahashya |
E643207
|
entity |
| Predicate | hasObjectOfInvestigation |
P117205
|
FINISHED |
| Object | suitcase |
—
|
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: suitcase | Statement: [Baksho Rahashya, hasObjectOfInvestigation, suitcase]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasObjectOfInvestigation Context triple: [Baksho Rahashya, hasObjectOfInvestigation, suitcase]
-
A.
containsInvestigationOf
chosen
Indicates that one entity includes or encompasses an investigation or inquiry concerning another entity.
-
B.
hasCrimeInvestigation
Indicates that an entity is the subject of, or associated with, a formal investigation into a crime.
-
C.
investigatedFor
Indicates that an entity is the subject of an investigation concerning a suspected involvement in another entity (typically a crime, incident, or wrongdoing).
-
D.
areInvestigatedFor
Indicates that one or more entities are the subject of an investigation concerning a particular issue, incident, or alleged wrongdoing.
-
E.
investigatedBy
Indicates that an entity is the subject of an investigation carried out by another entity.
- 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_69e77e7d8a848190a98d0162325fd780 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5faeafa50819082a180ac76b05b57 |
completed | May 2, 2026, 1:23 p.m. |
| PD | Predicate disambiguation | batch_69f4807f8680819098a524158d049c63 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 6:32 p.m.