Triple

T19241446
Position Surface form Disambiguated ID Type / Status
Subject Abu Simbel Airport E481141 entity
Predicate IATAcode P418 FINISHED
Object ABS
ABS is the IATA airport code for Abu Simbel Airport, which serves the area near the Abu Simbel temples in southern Egypt.
E1365404 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: ABS | Statement: [Abu Simbel Airport, IATAcode, ABS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ABS
Context triple: [Abu Simbel Airport, IATAcode, ABS]
  • A. ABS
    ABS is the stock ticker symbol for ABS-CBN Corporation, a major Philippine media and entertainment company.
  • B. ABS
    ABS (Anti-lock Braking System) is a vehicle safety technology that prevents the wheels from locking during braking to maintain steering control and reduce stopping distances on slippery surfaces.
  • C. ABS
    ABS is Australia’s national statistical agency responsible for collecting, analyzing, and publishing key economic, demographic, and social data.
  • D. ABL
    ABL is the commonly used abbreviation for the Academia Brasileira de Letras, Brazil’s foremost literary and language academy.
  • E. ABL
    ABL is the IATA airport code assigned to Ambrolauri Airport in Georgia.
  • 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: ABS
Triple: [Abu Simbel Airport, IATAcode, ABS]
Generated description
ABS is the IATA airport code for Abu Simbel Airport, which serves the area near the Abu Simbel temples in southern Egypt.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ABS
Target entity description: ABS is the IATA airport code for Abu Simbel Airport, which serves the area near the Abu Simbel temples in southern Egypt.
  • A. ABS
    ABS is the stock ticker symbol for ABS-CBN Corporation, a major Philippine media and entertainment company.
  • B. ABS
    ABS (Anti-lock Braking System) is a vehicle safety technology that prevents the wheels from locking during braking to maintain steering control and reduce stopping distances on slippery surfaces.
  • C. ABS
    ABS is Australia’s national statistical agency responsible for collecting, analyzing, and publishing key economic, demographic, and social data.
  • D. ABL
    ABL was a short-lived professional American basketball league that operated in the mid-1940s, preceding the formation of the NBA.
  • E. ABL
    ABL is the ICAO airline designator assigned to Air Busan, a South Korean low-cost carrier based in Busan.
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5faf14564819085009adf822804ab completed April 20, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0705dc40f08190a9c4d48455343a42 completed May 15, 2026, 11:39 a.m.
NEDg Description generation batch_6a070651263c8190b33b74f3dfd4a515 completed May 15, 2026, 11:41 a.m.
NED2 Entity disambiguation (via description) batch_6a0706ca714c8190baf78f8fa0e5f002 completed May 15, 2026, 11:43 a.m.
Created at: April 10, 2026, 1:26 p.m.