Triple

T24916375
Position Surface form Disambiguated ID Type / Status
Subject HERA E623995 entity
Predicate hadMajorDetector P136929 FINISHED
Object H1
H1 was a major multipurpose particle physics detector experiment at the HERA electron–proton collider at DESY in Hamburg, Germany.
 E1657066 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: H1 | Statement: [HERA, hadMajorDetector, H1]
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: H1
Triple: [HERA, hadMajorDetector, H1]
Generated description
H1 was a major multipurpose particle physics detector experiment at the HERA electron–proton collider at DESY in Hamburg, Germany.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hadMajorDetector
Context triple: [HERA, hadMajorDetector, H1]
  • A. hasMajor
    Indicates that an entity (typically a person or student) has a specific primary field of academic study or specialization.
  • B. mainDetector chosen
    Indicates that an entity serves as the primary or principal detector in relation to another entity or system.
  • C. hadMajorFront
    Indicates that an entity (such as a conflict or war) involved a significant primary front or theater of operations in a specified location or context.
  • D. detected
    Indicates that an entity has observed, identified, or discovered the presence or occurrence of another entity or event.
  • E. hasModeOfDetection
    Indicates that one entity is identified, measured, or observed using a specified method or technique of detection.
  • 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_69f497bc12b881908fe3386c66252bf6 completed May 1, 2026, 12:08 p.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_69f49366e8d08190adb4b71fe3a14683 completed May 1, 2026, 11:49 a.m.
Created at: April 18, 2026, 5:28 a.m.