Triple

T7620730
Position Surface form Disambiguated ID Type / Status
Subject Antwerp Zoo E172483 entity
Predicate operator P179 FINISHED
Object KMDA
KMDA is the Royal Zoological Society of Antwerp, a Belgian organization that manages major zoological and conservation institutions including Antwerp Zoo.
 E677263 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: KMDA | Statement: [Antwerp Zoo, operator, KMDA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KMDA
Context triple: [Antwerp Zoo, operator, KMDA]
  • A. KRDM
    KRDM is the ICAO airport code for Redmond Municipal Airport, a public airport serving the city of Redmond in central Oregon, United States.
  • B. KDAA
    KDAA is the ICAO airport code for Davison Army Airfield, a U.S. Army military airfield located at Fort Belvoir in Virginia.
  • C. KMU
    KMU is the abbreviation commonly used for Keimyung University, a private Christian university located in Daegu, South Korea.
  • D. KSMF
    KSMF is the ICAO airport code for Sacramento International Airport, a major commercial airport serving California’s capital region.
  • E. KACK
    KACK is the ICAO airport code for Nantucket Memorial Airport, a public airport serving Nantucket Island in Massachusetts, USA.
  • 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: KMDA
Triple: [Antwerp Zoo, operator, KMDA]
Generated description
KMDA is the Royal Zoological Society of Antwerp, a Belgian organization that manages major zoological and conservation institutions including Antwerp Zoo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KMDA
Target entity description: KMDA is the Royal Zoological Society of Antwerp, a Belgian organization that manages major zoological and conservation institutions including Antwerp Zoo.
  • A. KRDM
    KRDM is the ICAO airport code for Redmond Municipal Airport, a public airport serving the city of Redmond in central Oregon, United States.
  • B. KDAA
    KDAA is the ICAO airport code for Davison Army Airfield, a U.S. Army military airfield located at Fort Belvoir in Virginia.
  • C. KAKR
    KAKR is the ICAO airport code for Akron Fulton International Airport, a public airport serving Akron, Ohio, in the United States.
  • D. KMU
    KMU is the abbreviation commonly used for Keimyung University, a private Christian university located in Daegu, South Korea.
  • E. KSMF
    KSMF is the ICAO airport code for Sacramento International Airport, a major commercial airport serving California’s capital region.
  • 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_69c699506b308190826894dab1d9ea86 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa62870c8190b17f44eb7a3ff2ad completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c868789618819094010e60ef73fdfd completed March 28, 2026, 11:47 p.m.
NEDg Description generation batch_69c86c244d848190b53a713480761162 completed March 29, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_69c86c7881788190bc399c485d12d6fa completed March 29, 2026, 12:04 a.m.
Created at: March 27, 2026, 3:55 p.m.