Triple

T24916377
Position Surface form Disambiguated ID Type / Status
Subject HERA E623995 entity
Predicate hadDetector P136929 FINISHED
Object HERMES
HERMES is a high-energy physics experiment and detector system used to study the internal structure of nucleons through deep inelastic scattering of polarized beams.
 E1657067 NE FINISHED

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: HERMES | Statement: [HERA, hadDetector, HERMES]
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: HERMES
Triple: [HERA, hadDetector, HERMES]
Generated description
HERMES is a high-energy physics experiment and detector system used to study the internal structure of nucleons through deep inelastic scattering of polarized beams.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hadDetector
Context triple: [HERA, hadDetector, HERMES]
  • A. detected
    Indicates that an entity has observed, identified, or discovered the presence or occurrence of another entity or event.
  • B. mainDetector chosen
    Indicates that an entity serves as the primary or principal detector in relation to another entity or system.
  • C. laterDetector
    Indicates that one detector operates or is triggered at a later time than another detector in a given context.
  • D. hasModeOfDetection
    Indicates that one entity is identified, measured, or observed using a specified method or technique of detection.
  • E. detectorType
    Indicates the specific kind or category of detector associated with an entity or measurement.
  • F. None of above.

Provenance (6 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_69e2fac889c081908e9ff686cb428e5a completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f4238c52488190a58b1191f4dc3373 completed May 1, 2026, 3:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10332e5ae481908d0a2236eb137716 completed May 22, 2026, 10:42 a.m.
NEDg Description generation batch_6a1033edb6848190b35070d8784af90e completed May 22, 2026, 10:46 a.m.
NED2 Entity disambiguation (via description) batch_6a103487a09c81908960296ff597228f completed May 22, 2026, 10:48 a.m.
PD Predicate disambiguation batch_69f4210130d08190ae30b7943f7a0bbc completed May 1, 2026, 3:41 a.m.
Created at: April 18, 2026, 5:28 a.m.