Triple

T16929951
Position Surface form Disambiguated ID Type / Status
Subject Groningen Airport Eelde E410678 entity
Predicate IATAcode P418 FINISHED
Object GRQ
GRQ is the IATA airport code for Groningen Airport Eelde, a regional airport serving the city of Groningen and the northern Netherlands.
 E1241437 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: GRQ | Statement: [Groningen Airport Eelde, IATAcode, GRQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GRQ
Context triple: [Groningen Airport Eelde, IATAcode, GRQ]
  • A. GRA
    GRA is the ring-shaped orbital motorway encircling Rome, Italy, serving as a major traffic artery for the metropolitan area.
  • B. QR
    QR is the two-letter IATA airline designator assigned to Qatar Airways, the flag carrier of Qatar.
  • C. QR
    QR is the commonly used abbreviation for Queensland Rail, the government-owned railway operator in the Australian state of Queensland.
  • D. QRO
    QRO is the vehicle registration code used on license plates for the Mexican state of Querétaro.
  • E. 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.
  • 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: GRQ
Triple: [Groningen Airport Eelde, IATAcode, GRQ]
Generated description
GRQ is the IATA airport code for Groningen Airport Eelde, a regional airport serving the city of Groningen and the northern Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GRQ
Target entity description: GRQ is the IATA airport code for Groningen Airport Eelde, a regional airport serving the city of Groningen and the northern Netherlands.
  • A. GRA
    GRA is the ring-shaped orbital motorway encircling Rome, Italy, serving as a major traffic artery for the metropolitan area.
  • B. QR
    QR is the two-letter IATA airline designator assigned to Qatar Airways, the flag carrier of Qatar.
  • C. QR
    QR is the commonly used abbreviation for Queensland Rail, the government-owned railway operator in the Australian state of Queensland.
  • D. QRO
    QRO is the vehicle registration code used on license plates for the Mexican state of Querétaro.
  • E. 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.
  • 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cf248c6c81908fbf4d49e5381f08 completed April 18, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfdeb7a88190aac21a8645607dc8 completed May 10, 2026, 6:35 p.m.
NEDg Description generation batch_6a00d0a0852c8190991af93d50fa2216 completed May 10, 2026, 6:38 p.m.
NED2 Entity disambiguation (via description) batch_6a00d14b83d88190b3dbc124d5b33029 completed May 10, 2026, 6:41 p.m.
Created at: April 10, 2026, 5:30 a.m.