Triple

T18375035
Position Surface form Disambiguated ID Type / Status
Subject Nasiriyah Airport E446289 entity
Predicate hasICAOCode P419 FINISHED
Object ORNI
ORNI is the ICAO airport code for Nasiriyah Airport in Iraq.
 E1077462 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: ORNI | Statement: [Nasiriyah Airport, hasICAOCode, ORNI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ORNI
Context triple: [Nasiriyah Airport, hasICAOCode, ORNI]
  • A. ORNI
    ORNI is the ICAO airport code for Najaf International Airport in Najaf, Iraq.
  • B. ORI
    ORI is a U.S. federal agency within the Department of Health and Human Services that oversees and promotes integrity in biomedical and behavioral research funded by the Public Health Service.
  • C. ORI
    ORI is a revolutionary political organization known for uniting various radical groups under a single integrated movement.
  • D. Ors
    Ors is a small commune in northern France, known for its World War I history and military cemetery.
  • E. OROLSI
    OROLSI is a United Nations office responsible for supporting rule of law, security sector reform, and related institution-building in conflict and post-conflict settings.
  • 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: ORNI
Triple: [Nasiriyah Airport, hasICAOCode, ORNI]
Generated description
ORNI is the ICAO airport code for Nasiriyah Airport in Iraq.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ORNI
Target entity description: ORNI is the ICAO airport code for Nasiriyah Airport in Iraq.
  • A. ORNI chosen
    ORNI is the ICAO airport code for Najaf International Airport in Najaf, Iraq.
  • B. ORI
    ORI is a revolutionary political organization known for uniting various radical groups under a single integrated movement.
  • C. ORI
    ORI is a U.S. federal agency within the Department of Health and Human Services that oversees and promotes integrity in biomedical and behavioral research funded by the Public Health Service.
  • D. Ors
    Ors is a small commune in northern France, known for its World War I history and military cemetery.
  • E. OROLSI
    OROLSI is a United Nations office responsible for supporting rule of law, security sector reform, and related institution-building in conflict and post-conflict settings.
  • F. None of above.

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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51757a75c8190814db973ae1a86cd completed April 19, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03d77c78308190823a35ec21fd92d7 completed May 13, 2026, 1:44 a.m.
NEDg Description generation batch_6a03d8857ba081909a1bee74530523d0 completed May 13, 2026, 1:48 a.m.
NED2 Entity disambiguation (via description) batch_6a03da59c1b081908d9488233c611586 completed May 13, 2026, 1:56 a.m.
Created at: April 10, 2026, 10:45 a.m.