Triple

T1732569
Position Surface form Disambiguated ID Type / Status
Subject El Al E37845 entity
Predicate callsign P1565 FINISHED
Object ELAL
ELAL is the callsign of El Al, Israel’s national airline known for its extensive security measures and international passenger services.
 E193224 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: ELAL | Statement: [El Al, callsign, ELAL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ELAL
Context triple: [El Al, callsign, ELAL]
  • A. Alia Airlines
    Alia Airlines was the original name of Royal Jordanian, the flag carrier airline of Jordan.
  • B. Nile Air
    Nile Air is a privately owned Egyptian airline that operates domestic and regional flights across the Middle East, North Africa, and parts of Europe.
  • C. Emirates
    Emirates is a major Dubai-based international airline renowned for its extensive global route network and premium in-flight services.
  • D. Aena
    Aena is the Spanish state-owned company that manages and operates the majority of airports in Spain and is one of the world’s largest airport operators by passenger traffic.
  • E. Palestine Airways
    Palestine Airways was an early commercial airline that operated in the British Mandate of Palestine in the 1930s, providing regional passenger and mail services in the Eastern Mediterranean.
  • 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: ELAL
Triple: [El Al, callsign, ELAL]
Generated description
ELAL is the callsign of El Al, Israel’s national airline known for its extensive security measures and international passenger services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ELAL
Target entity description: ELAL is the callsign of El Al, Israel’s national airline known for its extensive security measures and international passenger services.
  • A. Alia Airlines
    Alia Airlines was the original name of Royal Jordanian, the flag carrier airline of Jordan.
  • B. Nile Air
    Nile Air is a privately owned Egyptian airline that operates domestic and regional flights across the Middle East, North Africa, and parts of Europe.
  • C. Emirates
    Emirates is a major Dubai-based international airline renowned for its extensive global route network and premium in-flight services.
  • D. Aena
    Aena is the Spanish state-owned company that manages and operates the majority of airports in Spain and is one of the world’s largest airport operators by passenger traffic.
  • E. Palestine Airways
    Palestine Airways was an early commercial airline that operated in the British Mandate of Palestine in the 1930s, providing regional passenger and mail services in the Eastern Mediterranean.
  • 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_69a8861cc6ac8190ac0b2e31ccf62851 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa639edaf88190b64b2f630a53f67c completed March 6, 2026, 5:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8afd15a881909a5d55dd960799d1 completed March 8, 2026, 2:43 p.m.
NEDg Description generation batch_69ad957e9a6c81909d52bf2def797526 completed March 8, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ad97b6c03881909f278594e800c0f5 completed March 8, 2026, 3:37 p.m.
Created at: March 4, 2026, 7:30 p.m.