Triple

T17764475
Position Surface form Disambiguated ID Type / Status
Subject Experimental Area 2 E443467 entity
Predicate partOf P40 FINISHED
Object n_TOF
n_TOF is a CERN neutron time-of-flight facility dedicated to high-precision measurements of neutron-induced reactions for nuclear physics and related applications.
 E1287377 NE FINISHED

How this triple was built (4 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: n_TOF | Statement: [Experimental Area 2, partOf, n_TOF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: n_TOF
Context triple: [Experimental Area 2, partOf, n_TOF]
  • A. NTOV
    NTOV is an independent record label associated with the releases of Icelandic composer Jóhann Jóhannsson.
  • B. TOG
    TOG is the commonly used abbreviation for The Open Group, an international consortium that develops open, vendor-neutral technology standards and certifications.
  • C. TOHS
    TOHS is a public high school located in Thousand Oaks, California, known for its strong academic programs and diverse extracurricular activities.
  • D. TOB
    TOB is the station code for Tobalaba, a major interchange station on the Santiago Metro in Chile.
  • E. NIF
    NIF is a large-scale laser-based research facility at Lawrence Livermore National Laboratory focused on achieving nuclear fusion ignition and studying high-energy-density physics.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: n_TOF
Triple: [Experimental Area 2, partOf, n_TOF]
Generated description
n_TOF is a CERN neutron time-of-flight facility dedicated to high-precision measurements of neutron-induced reactions for nuclear physics and related applications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: n_TOF
Target entity description: n_TOF is a CERN neutron time-of-flight facility dedicated to high-precision measurements of neutron-induced reactions for nuclear physics and related applications.
  • A. NTOV
    NTOV is an independent record label associated with the releases of Icelandic composer Jóhann Jóhannsson.
  • B. TOG
    TOG is the commonly used abbreviation for The Open Group, an international consortium that develops open, vendor-neutral technology standards and certifications.
  • C. TOHS
    TOHS is a public high school located in Thousand Oaks, California, known for its strong academic programs and diverse extracurricular activities.
  • D. TOB
    TOB is the station code for Tobalaba, a major interchange station on the Santiago Metro in Chile.
  • E. NIF
    NIF is a large-scale laser-based research facility at Lawrence Livermore National Laboratory focused on achieving nuclear fusion ignition and studying high-energy-density physics.
  • F. None of above. chosen

Provenance (5 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e485fb2a3c81908887d1d36aee942d completed April 19, 2026, 7:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02efbf6a4081908399ec1edf6f5a97 completed May 12, 2026, 9:15 a.m.
NEDg Description generation batch_6a02f113a41c8190b17611eaa50516ca completed May 12, 2026, 9:21 a.m.
NED2 Entity disambiguation (via description) batch_6a02f1e980f4819087eb191e13396581 completed May 12, 2026, 9:24 a.m.
Created at: April 10, 2026, 10:11 a.m.