Triple

T672649
Position Surface form Disambiguated ID Type / Status
Subject School of Social Work E13005 entity
Predicate fieldPlacementComponent P18303 FINISHED
Object supervised social work internships 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: supervised social work internships | Statement: [School of Social Work, fieldPlacementComponent, supervised social work internships]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fieldPlacementComponent
Context triple: [School of Social Work, fieldPlacementComponent, supervised social work internships]
  • A. areaComponent
    Indicates that one area is a constituent or sub-area that forms part of a larger area.
  • B. draftPosition
    Indicates the selection order or specific pick at which an entity (such as a player) was chosen in a draft process.
  • C. locationComponent
    Indicates that one entity is a constituent or sub-part of a larger location defined by another entity.
  • D. APGSystemPlacement
    Indicates a relationship where an APG (Auxiliary Power Generation) system is positioned, installed, or located relative to another object or environment.
  • E. playsInPosition
    Indicates that an entity (typically a player) performs or operates in a specific role or position within a game, sport, or activity.
  • 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_69a4933d3bf88190972041cd8cf143b9 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a1b3682c8190a9b9a454480c3446 completed March 1, 2026, 8:29 p.m.
PD Predicate disambiguation batch_69a49d1a16c48190af89e3b078a4957e completed March 1, 2026, 8:10 p.m.
PDg Predicate description generation batch_69a4a1b240648190bf15415205399d97 completed March 1, 2026, 8:29 p.m.
Created at: March 1, 2026, 7:36 p.m.