Triple

T21581373
Position Surface form Disambiguated ID Type / Status
Subject Venetia Burney Student Dust Counter E532531 entity
Predicate alternativeName P39 FINISHED
Object SDC NE NERFINISHED

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: SDC | Statement: [Venetia Burney Student Dust Counter, alternativeName, SDC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SDC
Context triple: [Venetia Burney Student Dust Counter, alternativeName, SDC]
  • A. SDC chosen
    SDC is a dust-detecting scientific instrument aboard NASA’s New Horizons spacecraft used to study space dust in the outer solar system.
  • B. SDC
    SDC is the political wing and governing body associated with the Syrian Democratic Forces, representing a coalition of Kurdish, Arab, and other groups in northern and eastern Syria.
  • C. SDC
    SDC is the Swiss government’s agency responsible for international development cooperation and humanitarian aid.
  • D. SDC
    SDC is the labor union representing professional stage directors and choreographers working in the American theatre industry.
  • E. SD 1
    SD 1 is a NIST Special Database containing standardized image data used for testing and evaluating image processing and pattern recognition algorithms.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c4618bec8190bcb0feb74568cbb1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeeb5c496c819093113dd5790fca48 completed April 27, 2026, 4:51 a.m.
Created at: April 16, 2026, 6:31 p.m.