Triple

T23269436
Position Surface form Disambiguated ID Type / Status
Subject DAMA/LIBRA E588247 entity
Predicate predecessor P97 FINISHED
Object DAMA/NaI 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/NaI | Statement: [DAMA/LIBRA, predecessor, DAMA/NaI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DAMA/NaI
Context triple: [DAMA/LIBRA, predecessor, DAMA/NaI]
  • 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. DAM
    DAM is a Frankfurt-based museum dedicated to the history, theory, and contemporary practice of architecture in Germany and beyond.
  • C. DAM
    DAM is the National Rail station code used to identify Dalmeny railway station in Scotland’s rail network.
  • D. DAM
    DAM is the three-letter IATA airport code for Damascus International Airport, the main airport serving Syria’s capital city.
  • E. NSMIA
    NSMIA is a U.S. federal law enacted in 1996 that reallocated regulatory authority between federal and state governments over securities offerings and investment advisers to streamline and modernize securities regulation.
  • 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/NaI
Target entity description: DAMA/NaI was an underground sodium iodide scintillator experiment at Italy’s Gran Sasso laboratory that searched for dark matter via annual modulation signals.
  • 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. DAM
    DAM is a Frankfurt-based museum dedicated to the history, theory, and contemporary practice of architecture in Germany and beyond.
  • C. DAM
    DAM is the three-letter IATA airport code for Damascus International Airport, the main airport serving Syria’s capital city.
  • D. DAM
    DAM is the National Rail station code used to identify Dalmeny railway station in Scotland’s rail network.
  • E. NSMIA
    NSMIA is a U.S. federal law enacted in 1996 that reallocated regulatory authority between federal and state governments over securities offerings and investment advisers to streamline and modernize securities regulation.
  • 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.