Triple

T6409987
Position Surface form Disambiguated ID Type / Status
Subject Menorca Airport E127679 entity
Predicate ICAOcode P419 FINISHED
Object LEMH
LEMH is the ICAO airport code for Menorca Airport, the main international airport serving the island of Menorca in Spain’s Balearic Islands.
 E590708 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: LEMH | Statement: [Menorca Airport, ICAOcode, LEMH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LEMH
Context triple: [Menorca Airport, ICAOcode, LEMH]
  • A. LEMD
    LEMD is the ICAO airport code for Adolfo Suárez Madrid–Barajas Airport, the main international airport serving Madrid, Spain.
  • B. LEM
    LEM is the original abbreviation for the Apollo Lunar Module, the spacecraft used by NASA astronauts to land on and ascend from the Moon during the Apollo missions.
  • C. Mehlem
    Mehlem is a subdistrict of the Bonn borough of Bad Godesberg in Germany, known for its scenic location along the Rhine River.
  • D. LHM
    LHM is the station code for Lillehammer railway station in Norway.
  • E. Lm
    Lm is the currency symbol that was used to denote the Maltese lira, Malta’s former national currency before adoption of the euro.
  • 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: LEMH
Triple: [Menorca Airport, ICAOcode, LEMH]
Generated description
LEMH is the ICAO airport code for Menorca Airport, the main international airport serving the island of Menorca in Spain’s Balearic Islands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LEMH
Target entity description: LEMH is the ICAO airport code for Menorca Airport, the main international airport serving the island of Menorca in Spain’s Balearic Islands.
  • A. LEMD
    LEMD is the ICAO airport code for Adolfo Suárez Madrid–Barajas Airport, the main international airport serving Madrid, Spain.
  • B. LEM
    LEM is the original abbreviation for the Apollo Lunar Module, the spacecraft used by NASA astronauts to land on and ascend from the Moon during the Apollo missions.
  • C. Mehlem
    Mehlem is a subdistrict of the Bonn borough of Bad Godesberg in Germany, known for its scenic location along the Rhine River.
  • D. LHM
    LHM is the station code for Lillehammer railway station in Norway.
  • E. Lm
    Lm is the currency symbol that was used to denote the Maltese lira, Malta’s former national currency before adoption of the euro.
  • 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_69c0083723d88190b1e37b19df162c08 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c068cf81508190bc09e58ec45bc858 completed March 22, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c638b7582481909640965acf261dff completed March 27, 2026, 7:58 a.m.
NEDg Description generation batch_69c63b74688881909bb41db1ec89daf6 completed March 27, 2026, 8:10 a.m.
NED2 Entity disambiguation (via description) batch_69c63be025c88190b24cf4168b8194a0 completed March 27, 2026, 8:12 a.m.
Created at: March 22, 2026, 4:41 p.m.