Triple

T3549572
Position Surface form Disambiguated ID Type / Status
Subject Ullaskar Dutta E75076 entity
Predicate detentionType P50528 FINISHED
Object penal transportation 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: penal transportation | Statement: [Ullaskar Dutta, detentionType, penal transportation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: detentionType
Context triple: [Ullaskar Dutta, detentionType, penal transportation]
  • A. detainedBy
    Indicates that an entity is being held in custody or confinement by another entity, typically an authority or controlling party.
  • B. detainedFor
    Indicates that one entity is being held in custody or confinement because of, or as a consequence of, another entity (such as a reason, charge, or event).
  • C. placeOfDetention
    Indicates the location or facility where an entity is or was held in detention.
  • D. detaineeStatus
    Indicates the current legal or custodial condition of a person being detained, such as whether they are in custody, released, or under a specific detention regime.
  • E. prisonType
    Indicates the specific category or classification of a prison associated with an entity.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbfd38c8c8190a4591689ad57c998 completed March 8, 2026, 6:28 p.m.
PD Predicate disambiguation batch_69adb83270ac819083967db0570167d2 completed March 8, 2026, 5:56 p.m.
PDg Predicate description generation batch_69adba25c66c81909a05a97327828c41 completed March 8, 2026, 6:04 p.m.
Created at: March 8, 2026, 3:20 p.m.