Triple

T3461670
Position Surface form Disambiguated ID Type / Status
Subject Lemnos E73038 entity
Predicate airportIATAcode P418 FINISHED
Object LXS
LXS is the IATA airport code for the main airport serving the Greek island of Lemnos in the northern Aegean Sea.
E359262 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: LXS | Statement: [Lemnos, airportIATAcode, LXS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LXS
Context triple: [Lemnos, airportIATAcode, LXS]
  • A. LX
    LX is the second-generation Holden Torana series produced in the mid-1970s, notable for introducing the A9X performance package and being a popular Australian mid-size car in both road and racing forms.
  • B. LX
    LX is the IATA airline designator used to identify Swiss International Air Lines on tickets, timetables, and flight numbers.
  • C. LXGB
    LXGB is the ICAO airport code for Gibraltar International Airport, a unique airfield known for its runway intersecting a major road near the Rock of Gibraltar.
  • D. l’X
    l’X is the traditional nickname of École Polytechnique, France’s elite engineering grande école renowned for its rigorous scientific education and prestigious alumni.
  • E. Elxsi
    Elxsi was a computer company known for developing high-performance minicomputers and multiprocessor systems in the late 20th century.
  • 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: LXS
Triple: [Lemnos, airportIATAcode, LXS]
Generated description
LXS is the IATA airport code for the main airport serving the Greek island of Lemnos in the northern Aegean Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LXS
Target entity description: LXS is the IATA airport code for the main airport serving the Greek island of Lemnos in the northern Aegean Sea.
  • A. LX
    LX is the second-generation Holden Torana series produced in the mid-1970s, notable for introducing the A9X performance package and being a popular Australian mid-size car in both road and racing forms.
  • B. LX
    LX is the IATA airline designator used to identify Swiss International Air Lines on tickets, timetables, and flight numbers.
  • C. LXGB
    LXGB is the ICAO airport code for Gibraltar International Airport, a unique airfield known for its runway intersecting a major road near the Rock of Gibraltar.
  • D. l’X
    l’X is the traditional nickname of École Polytechnique, France’s elite engineering grande école renowned for its rigorous scientific education and prestigious alumni.
  • E. Elxsi
    Elxsi was a computer company known for developing high-performance minicomputers and multiprocessor systems in the late 20th century.
  • 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_69ad85b224d481908ff8be51338d24ff completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbae745e081909007cd3a664c57f3 completed March 8, 2026, 6:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3611ff950819081b49f5c75aa6e4d completed March 13, 2026, 12:58 a.m.
NEDg Description generation batch_69b3629f2e54819091b38de147996782 completed March 13, 2026, 1:04 a.m.
NED2 Entity disambiguation (via description) batch_69b3630f5628819080ab239790cf4f4d completed March 13, 2026, 1:06 a.m.
Created at: March 8, 2026, 3:17 p.m.