Triple

T1342968
Position Surface form Disambiguated ID Type / Status
Subject Beirut–Rafic Hariri International Airport E28506 entity
Predicate ICAOcode P419 FINISHED
Object OLBA
OLBA is the ICAO airport code for Beirut–Rafic Hariri International Airport, the main international gateway to Lebanon.
 E154042 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: OLBA | Statement: [Beirut–Rafic Hariri International Airport, ICAOcode, OLBA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OLBA
Context triple: [Beirut–Rafic Hariri International Airport, ICAOcode, OLBA]
  • A. OLA
    OLA is the commonly used acronym for the United Nations Office of Legal Affairs, which provides legal advice and support to UN organs and specialized agencies.
  • B. OLMS
    OLMS is a U.S. Department of Labor agency responsible for promoting transparency, democracy, and financial integrity in labor unions and labor-management relations.
  • C. OL
    OL is a UK postcode area covering Oldham and surrounding parts of Greater Manchester and nearby regions in North West England.
  • D. OLC
    OLC is a division of the U.S. Department of Justice that provides authoritative legal advice to the President and executive branch agencies.
  • E. OLEM
    OLEM is a division of the U.S. Environmental Protection Agency responsible for overseeing land preservation, hazardous waste management, and emergency environmental response activities.
  • 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: OLBA
Triple: [Beirut–Rafic Hariri International Airport, ICAOcode, OLBA]
Generated description
OLBA is the ICAO airport code for Beirut–Rafic Hariri International Airport, the main international gateway to Lebanon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OLBA
Target entity description: OLBA is the ICAO airport code for Beirut–Rafic Hariri International Airport, the main international gateway to Lebanon.
  • A. OLA
    OLA is the commonly used acronym for the United Nations Office of Legal Affairs, which provides legal advice and support to UN organs and specialized agencies.
  • B. OLMS
    OLMS is a U.S. Department of Labor agency responsible for promoting transparency, democracy, and financial integrity in labor unions and labor-management relations.
  • C. OL
    OL is a UK postcode area covering Oldham and surrounding parts of Greater Manchester and nearby regions in North West England.
  • D. OLC
    OLC is a division of the U.S. Department of Justice that provides authoritative legal advice to the President and executive branch agencies.
  • E. OLEM
    OLEM is a division of the U.S. Environmental Protection Agency responsible for overseeing land preservation, hazardous waste management, and emergency environmental response activities.
  • 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c2174d048190a6e9380df302265f completed March 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc632cbc88190a64897f1b101c699 completed March 8, 2026, 12:43 a.m.
NEDg Description generation batch_69acc6dbd80881908d640ee204ce9a12 completed March 8, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69acc8199f508190a86c18ad9085d341 completed March 8, 2026, 12:51 a.m.
Created at: March 1, 2026, 7:56 p.m.