Triple

T23269435
Position Surface form Disambiguated ID Type / Status
Subject DAMA/LIBRA E588247 entity
Predicate operatedBy P86 FINISHED
Object DAMA collaboration NE NERFINISHED

How this triple was built (3 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: DAMA collaboration | Statement: [DAMA/LIBRA, operatedBy, DAMA collaboration]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DAMA collaboration
Context triple: [DAMA/LIBRA, operatedBy, DAMA collaboration]
  • A. DAMA/LIBRA
    DAMA/LIBRA is a dark matter direct-detection experiment that uses highly radiopure sodium iodide scintillators to search for an annual modulation signal in underground measurements.
  • B. Centre for Collaboration with Data Networks
    The Centre for Collaboration with Data Networks is a unit within the Norwegian Institute of Public Health that focuses on coordinating and advancing the use of data networks for public health research, surveillance, and decision-making.
  • C. AURIGA collaboration
    The AURIGA collaboration is a scientific research team focused on detecting and studying gravitational waves using resonant-mass detector technology.
  • D. DES collaboration
    The DES collaboration is a large international team of scientists using the Dark Energy Survey to study cosmic acceleration and other fundamental cosmological parameters.
  • E. Gaia Data Processing and Analysis Consortium
    The Gaia Data Processing and Analysis Consortium is the international scientific collaboration responsible for processing, calibrating, and analyzing the vast astrometric and photometric data collected by ESA’s Gaia space mission.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DAMA collaboration
Target entity description: The DAMA collaboration is a research group best known for operating dark matter detection experiments that have reported an annual modulation signal in underground sodium iodide detectors.
  • A. DAMA/LIBRA chosen
    DAMA/LIBRA is a dark matter direct-detection experiment that uses highly radiopure sodium iodide scintillators to search for an annual modulation signal in underground measurements.
  • B. Centre for Collaboration with Data Networks
    The Centre for Collaboration with Data Networks is a unit within the Norwegian Institute of Public Health that focuses on coordinating and advancing the use of data networks for public health research, surveillance, and decision-making.
  • C. AURIGA collaboration
    The AURIGA collaboration is a scientific research team focused on detecting and studying gravitational waves using resonant-mass detector technology.
  • D. DES collaboration
    The DES collaboration is a large international team of scientists using the Dark Energy Survey to study cosmic acceleration and other fundamental cosmological parameters.
  • E. Gaia Data Processing and Analysis Consortium
    The Gaia Data Processing and Analysis Consortium is the international scientific collaboration responsible for processing, calibrating, and analyzing the vast astrometric and photometric data collected by ESA’s Gaia space mission.
  • F. None of above.

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_69e25d148adc819088efbf42672604e9 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1957219188190b30bceffad1542da completed April 29, 2026, 5:21 a.m.
Created at: April 17, 2026, 4:45 p.m.