Triple

T16522337
Position Surface form Disambiguated ID Type / Status
Subject Bentham E401349 entity
Predicate hasPostcodeDistrict P961 FINISHED
Object LA2
LA2 is a UK postcode district in the Lancaster area of Lancashire, covering rural and semi-rural communities around the city.
 E1219068 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: LA2 | Statement: [Bentham, hasPostcodeDistrict, LA2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LA2
Context triple: [Bentham, hasPostcodeDistrict, LA2]
  • A. LAJ
    LAJ is the station code for La Junta station, an Amtrak railroad stop in La Junta, Colorado, serving long-distance passenger trains.
  • B. LA-1
    LA-1 is the alternative title for the Los Alamos Primer, the foundational lecture series that introduced scientists to the basic principles of nuclear weapon design during the Manhattan Project.
  • C. LAA
    LAA is the standard Major League Baseball abbreviation for the Los Angeles Angels franchise.
  • D. LAL
    LAL is the IATA airport code for Lakeland Linder International Airport, a public airport serving Lakeland, Florida.
  • E. LAL
    LAL is the standard NBA abbreviation for the Los Angeles Lakers basketball franchise.
  • 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: LA2
Triple: [Bentham, hasPostcodeDistrict, LA2]
Generated description
LA2 is a UK postcode district in the Lancaster area of Lancashire, covering rural and semi-rural communities around the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LA2
Target entity description: LA2 is a UK postcode district in the Lancaster area of Lancashire, covering rural and semi-rural communities around the city.
  • A. LAJ
    LAJ is the station code for La Junta station, an Amtrak railroad stop in La Junta, Colorado, serving long-distance passenger trains.
  • B. LA-1
    LA-1 is the alternative title for the Los Alamos Primer, the foundational lecture series that introduced scientists to the basic principles of nuclear weapon design during the Manhattan Project.
  • C. LAA
    LAA is the standard Major League Baseball abbreviation for the Los Angeles Angels franchise.
  • D. LAL
    LAL is the IATA airport code for Lakeland Linder International Airport, a public airport serving Lakeland, Florida.
  • E. LAL
    LAL is the standard NBA abbreviation for the Los Angeles Lakers basketball franchise.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e8158cc8190aa77c6d37bd7ec76 completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006088fe4881909e5b691743157700 completed May 10, 2026, 10:40 a.m.
NEDg Description generation batch_6a006486cf4c8190a4f1b096f70b016b completed May 10, 2026, 10:57 a.m.
NED2 Entity disambiguation (via description) batch_6a0064e3388c8190bb477fadf51469e8 completed May 10, 2026, 10:58 a.m.
Created at: April 10, 2026, 5:14 a.m.