Triple

T8832421
Position Surface form Disambiguated ID Type / Status
Subject GBAR E210176 entity
Predicate relatedExperiment P37 FINISHED
Object AEgIS E761919 NE 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: AEgIS | Statement: [GBAR, relatedExperiment, AEgIS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AEgIS
Context triple: [GBAR, relatedExperiment, AEgIS]
  • A. AEgIS chosen
    AEgIS is a CERN-based physics experiment designed to precisely measure how gravity affects antimatter, particularly antihydrogen, using advanced interferometry and spectroscopy techniques.
  • B. Aeg
    Aeg was a German electricity company that played a key role in early 20th-century industrial design and technology, notably supporting avant-garde projects like the Light-Space Modulator.
  • C. Ais
    The Ais were a Native American people who inhabited the Atlantic coast of what is now central and southeastern Florida prior to European colonization.
  • D. AE
    AE is the IATA airline designator assigned to Mandarin Airlines, a regional carrier based in Taiwan.
  • E. AE
    AE is the commonly used abbreviation for Academia Europaea, a European non-governmental association of scientists and scholars across all disciplines.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc605005788190a4df1fe317f3056a completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa069d7488190ade4caa15fa83cd9 completed April 3, 2026, 11:11 a.m.
Created at: March 30, 2026, 6:47 p.m.