Triple

T10991079
Position Surface form Disambiguated ID Type / Status
Subject generalized Riemann hypothesis E259754 entity
Predicate alsoKnownAs P39 FINISHED
Object GRH
GRH is a major unproven conjecture in number theory asserting that all nontrivial zeros of a broad class of L-functions lie on a critical line, generalizing the classical Riemann hypothesis.
 E898459 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: GRH | Statement: [generalized Riemann hypothesis, alsoKnownAs, GRH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GRH
Context triple: [generalized Riemann hypothesis, alsoKnownAs, GRH]
  • A. GRR
    GRR is the IATA airport code for Gerald R. Ford International Airport, the primary commercial airport serving Grand Rapids, Michigan.
  • B. RGH
    RGH is the IATA airport code for Balurghat Airport, a regional airport serving the town of Balurghat in West Bengal, India.
  • C. GRA
    GRA is the ring-shaped orbital motorway encircling Rome, Italy, serving as a major traffic artery for the metropolitan area.
  • D. GANHRI
    GANHRI is an international network that brings together and supports national human rights institutions worldwide to promote and protect human rights.
  • E. GHY
    GHY is the station code for Guwahati Junction, a major railway hub in the northeastern Indian state of Assam.
  • 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: GRH
Triple: [generalized Riemann hypothesis, alsoKnownAs, GRH]
Generated description
GRH is a major unproven conjecture in number theory asserting that all nontrivial zeros of a broad class of L-functions lie on a critical line, generalizing the classical Riemann hypothesis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GRH
Target entity description: GRH is a major unproven conjecture in number theory asserting that all nontrivial zeros of a broad class of L-functions lie on a critical line, generalizing the classical Riemann hypothesis.
  • A. GRR
    GRR is the IATA airport code for Gerald R. Ford International Airport, the primary commercial airport serving Grand Rapids, Michigan.
  • B. RGH
    RGH is the IATA airport code for Balurghat Airport, a regional airport serving the town of Balurghat in West Bengal, India.
  • C. GRA
    GRA is the ring-shaped orbital motorway encircling Rome, Italy, serving as a major traffic artery for the metropolitan area.
  • D. GANHRI
    GANHRI is an international network that brings together and supports national human rights institutions worldwide to promote and protect human rights.
  • E. GHY
    GHY is the station code for Guwahati Junction, a major railway hub in the northeastern Indian state of Assam.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d787b8d7088190b7d6b63c3bac4ad1 completed April 9, 2026, 11:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69e34504ebec8190a78e4795765b0c24 completed April 18, 2026, 8:47 a.m.
NEDg Description generation batch_69e3556fd3548190a33f04604be947cf completed April 18, 2026, 9:57 a.m.
NED2 Entity disambiguation (via description) batch_69e3593b0f8481909ed7a90f8bb9839d completed April 18, 2026, 10:13 a.m.
Created at: April 8, 2026, 9:24 p.m.