Triple

T13800318
Position Surface form Disambiguated ID Type / Status
Subject Liseberg station E331621 entity
Predicate hasStationCode P1289 FINISHED
Object Lbg
Lbg is the station code used to identify Liseberg station in Gothenburg, Sweden.
E1062047 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: Lbg | Statement: [Liseberg station, hasStationCode, Lbg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lbg
Context triple: [Liseberg station, hasStationCode, Lbg]
  • A. LBG
    LBG is the IATA airport code for Paris–Le Bourget Airport, a historic airfield near Paris known for hosting the Paris Air Show.
  • B. LLBG
    LLBG is the ICAO airport code for Ben Gurion International Airport, Israel’s main international gateway near Tel Aviv.
  • C. BLB
    BLB is the IATA airport code for Panama Pacifico International Airport, a commercial airport serving the Panama City area in Panama.
  • D. LBBG
    LBBG is the ICAO airport code for Burgas Airport, an international airport serving the city of Burgas on Bulgaria’s Black Sea coast.
  • E. LBF
    LBF is the IATA airport code for North Platte Regional Airport serving North Platte, Nebraska.
  • 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: Lbg
Triple: [Liseberg station, hasStationCode, Lbg]
Generated description
Lbg is the station code used to identify Liseberg station in Gothenburg, Sweden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lbg
Target entity description: Lbg is the station code used to identify Liseberg station in Gothenburg, Sweden.
  • A. LBG
    LBG is the IATA airport code for Paris–Le Bourget Airport, a historic airfield near Paris known for hosting the Paris Air Show.
  • B. LLBG
    LLBG is the ICAO airport code for Ben Gurion International Airport, Israel’s main international gateway near Tel Aviv.
  • C. BLB
    BLB is the IATA airport code for Panama Pacifico International Airport, a commercial airport serving the Panama City area in Panama.
  • D. LBBG
    LBBG is the ICAO airport code for Burgas Airport, an international airport serving the city of Burgas on Bulgaria’s Black Sea coast.
  • E. LBF
    LBF is the IATA airport code for North Platte Regional Airport serving North Platte, Nebraska.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de025ce9148190b23370f6a522ff7a completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b0893a20819081d4001b8dbc9c36 completed May 3, 2026, 8:31 p.m.
NEDg Description generation batch_69f7b138fda88190b2b7ffb51ce02a40 completed May 3, 2026, 8:34 p.m.
NED2 Entity disambiguation (via description) batch_69f7b28ca218819097fc35042d3b278a completed May 3, 2026, 8:39 p.m.
Created at: April 9, 2026, 10:11 p.m.