Triple

T14753457
Position Surface form Disambiguated ID Type / Status
Subject Fast Interaction Trigger detector E346671 entity
Predicate hasFullName P16 FINISHED
Object Fast Interaction Trigger detector E346671 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: Fast Interaction Trigger detector | Statement: [Fast Interaction Trigger detector, hasFullName, Fast Interaction Trigger detector]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fast Interaction Trigger detector
Context triple: [Fast Interaction Trigger detector, hasFullName, Fast Interaction Trigger detector]
  • A. Fast Interaction Trigger detector chosen
    The Fast Interaction Trigger detector is a specialized subdetector of the ALICE experiment at CERN designed to rapidly identify and select particle collision events of interest for data acquisition.
  • B. FasterRCNN
    FasterRCNN is a popular two-stage object detection architecture that first proposes candidate regions and then classifies and refines bounding boxes, widely used in computer vision tasks.
  • C. Learning to See
    "Learning to See" is an autobiographical essay by Eudora Welty that reflects on how her early experiences and observations shaped her development as a writer.
  • D. Forward Multiplicity Detector
    The Forward Multiplicity Detector is a specialized ALICE experiment subdetector at CERN designed to measure charged-particle multiplicities at very forward angles in high-energy collisions.
  • E. ILD detector concept
    The ILD detector concept is a proposed high-precision particle physics detector design for the International Linear Collider, optimized for detailed reconstruction of complex collision events.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d59df08190a86da5048358bd6e completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb9c725881908004368772fa528d completed May 8, 2026, 3:05 p.m.
Created at: April 10, 2026, 1:30 a.m.