Triple

T21098316
Position Surface form Disambiguated ID Type / Status
Subject Lancaster Airport (Pennsylvania) E519826 entity
Predicate IATA code P2569 FINISHED
Object LNS
LNS is the three-letter IATA airport code for Lancaster Airport in Lancaster County, Pennsylvania, serving regional air traffic.
E1466418 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: LNS | Statement: [Lancaster Airport (Pennsylvania), IATA code, LNS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LNS
Context triple: [Lancaster Airport (Pennsylvania), IATA code, LNS]
  • A. LNS
    LNS is the commonly used abbreviation for the Laboratory for Nuclear Science, a research institution focused on advancing the understanding of nuclear and particle physics.
  • B. LNS
    LNS is the commonly used abbreviation for Lindsey Nelson Stadium, the University of Tennessee’s baseball venue in Knoxville.
  • C. LNZ
    LNZ is the IATA airport code for Linz Airport, the main international airport serving the city of Linz in Austria.
  • D. LNI
    LNI is the ICAO airline designator used for Lion Air, a major Indonesian low-cost carrier.
  • E. LN1
    LN1 is the first French high-speed rail line (LGV Sud-Est), connecting Paris to Lyon and pioneering the TGV network.
  • 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: LNS
Triple: [Lancaster Airport (Pennsylvania), IATA code, LNS]
Generated description
LNS is the three-letter IATA airport code for Lancaster Airport in Lancaster County, Pennsylvania, serving regional air traffic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LNS
Target entity description: LNS is the three-letter IATA airport code for Lancaster Airport in Lancaster County, Pennsylvania, serving regional air traffic.
  • A. LNS
    LNS is the commonly used abbreviation for the Laboratory for Nuclear Science, a research institution focused on advancing the understanding of nuclear and particle physics.
  • B. LNS
    LNS is the commonly used abbreviation for Lindsey Nelson Stadium, the University of Tennessee’s baseball venue in Knoxville.
  • C. LNZ
    LNZ is the IATA airport code for Linz Airport, the main international airport serving the city of Linz in Austria.
  • D. LNI
    LNI is the ICAO airline designator used for Lion Air, a major Indonesian low-cost carrier.
  • E. LN1
    LN1 is the first French high-speed rail line (LGV Sud-Est), connecting Paris to Lyon and pioneering the TGV network.
  • 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_69e0b508d8dc81909be940dafe36c8f7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e71b5a3a9481908e30fba9717dc461 completed April 21, 2026, 6:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a095a60c2ec8190a7383948f0ff6cac completed May 17, 2026, 6:04 a.m.
NEDg Description generation batch_6a095c017bec81909fd6c73a0fb677df completed May 17, 2026, 6:11 a.m.
NED2 Entity disambiguation (via description) batch_6a095cee4c308190a08844f285231ff9 completed May 17, 2026, 6:15 a.m.
Created at: April 16, 2026, 2:52 p.m.