Triple

T10413251
Position Surface form Disambiguated ID Type / Status
Subject EgyptAir Flight 990 E245447 entity
Predicate aircraftRegistration P5244 FINISHED
Object SU-GAP
SU-GAP was the Boeing 767-300ER aircraft operated by EgyptAir that was involved in the fatal crash of EgyptAir Flight 990 in 1999.
 E862140 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: SU-GAP | Statement: [EgyptAir Flight 990, aircraftRegistration, SU-GAP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SU-GAP
Context triple: [EgyptAir Flight 990, aircraftRegistration, SU-GAP]
  • A. PGSUS
    PGSUS is the stock ticker for Pegasus Airlines, a Turkish low-cost carrier listed on Borsa Istanbul.
  • B. SU
    SU was the two-letter country code used to represent the former Soviet Union in various international standards and systems.
  • C. SU
    SU is the commonly used abbreviation for Stockholm University, a major public research university in Stockholm, Sweden.
  • D. SU
    SU is the station code used to identify Summerhill railway station.
  • E. SU
    SU is the commonly used abbreviation for Saurashtra University, a public higher education institution located in Gujarat, India.
  • 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: SU-GAP
Triple: [EgyptAir Flight 990, aircraftRegistration, SU-GAP]
Generated description
SU-GAP was the Boeing 767-300ER aircraft operated by EgyptAir that was involved in the fatal crash of EgyptAir Flight 990 in 1999.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SU-GAP
Target entity description: SU-GAP was the Boeing 767-300ER aircraft operated by EgyptAir that was involved in the fatal crash of EgyptAir Flight 990 in 1999.
  • A. PGSUS
    PGSUS is the stock ticker for Pegasus Airlines, a Turkish low-cost carrier listed on Borsa Istanbul.
  • B. SU
    SU was the two-letter country code used to represent the former Soviet Union in various international standards and systems.
  • C. SU
    SU is the commonly used abbreviation for Stockholm University, a major public research university in Stockholm, Sweden.
  • D. SU
    SU is the station code used to identify Summerhill railway station.
  • E. SU
    SU is the commonly used abbreviation for Saurashtra University, a public higher education institution located in Gujarat, India.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea0ec6fc8190a71af759226a3cba completed April 7, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fc043074819083d219ec1c40f931 completed April 9, 2026, 7:20 p.m.
NEDg Description generation batch_69d822d6a0188190a7ee6de5aab50486 completed April 9, 2026, 10:06 p.m.
NED2 Entity disambiguation (via description) batch_69d859e40bf88190a6dc8deed3049d31 completed April 10, 2026, 2:01 a.m.
Created at: April 6, 2026, 12:10 p.m.