Triple

T22005566
Position Surface form Disambiguated ID Type / Status
Subject Bor E543442 entity
Predicate hasStationCode P1289 FINISHED
Object BOR
BOR is the station code for Bor railway station, a train stop serving the town of Bor.
E1513223 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: BOR | Statement: [Bor, hasStationCode, BOR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BOR
Context triple: [Bor, hasStationCode, BOR]
  • A. BOR
    BOR is the commonly used abbreviation for the United States Bureau of Reclamation, a federal agency that manages water resources and hydroelectric power projects in the American West.
  • B. BOR
    BOR is the Polish Government Protection Bureau, a state security agency responsible for protecting top government officials and key state facilities.
  • C. BUR
    BUR is the commonly used abbreviation for the Burnaby Lakers, a Canadian box lacrosse team based in Burnaby, British Columbia.
  • D. BUR
    BUR is the three-letter IATA airport code for Hollywood Burbank Airport, a commercial airport serving the Los Angeles area in Southern California.
  • E. BO
    BO is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Bolivia in international standards and systems.
  • 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: BOR
Triple: [Bor, hasStationCode, BOR]
Generated description
BOR is the station code for Bor railway station, a train stop serving the town of Bor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BOR
Target entity description: BOR is the station code for Bor railway station, a train stop serving the town of Bor.
  • A. BOR
    BOR is the commonly used abbreviation for the United States Bureau of Reclamation, a federal agency that manages water resources and hydroelectric power projects in the American West.
  • B. BOR
    BOR is the Polish Government Protection Bureau, a state security agency responsible for protecting top government officials and key state facilities.
  • C. BUR
    BUR is the commonly used abbreviation for the Burnaby Lakers, a Canadian box lacrosse team based in Burnaby, British Columbia.
  • D. BUR
    BUR is the three-letter IATA airport code for Hollywood Burbank Airport, a commercial airport serving the Los Angeles area in Southern California.
  • E. BO
    BO is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Bolivia in international standards and systems.
  • 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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a0afa881908318a4ebe211ca28 completed April 28, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a737195408190b9e180dbc7fd4b55 completed May 18, 2026, 2:03 a.m.
NEDg Description generation batch_6a0a748c80b88190aaca0c0540c6f802 completed May 18, 2026, 2:08 a.m.
NED2 Entity disambiguation (via description) batch_6a0a7539f3308190a1ff50ad7cf89545 completed May 18, 2026, 2:11 a.m.
Created at: April 16, 2026, 8:21 p.m.