Triple

T10420371
Position Surface form Disambiguated ID Type / Status
Subject Tiny, Ontario E245629 entity
Predicate hasPostalCodePrefix P961 FINISHED
Object L0L
L0L is a Canadian postal code prefix assigned to parts of rural and small-town communities in central Ontario.
 E862411 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: L0L | Statement: [Tiny, Ontario, hasPostalCodePrefix, L0L]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: L0L
Context triple: [Tiny, Ontario, hasPostalCodePrefix, L0L]
  • A. Lolol
    Lolol is a small rural town and municipality in Chile’s Colchagua Province, known for its well-preserved colonial architecture and traditional Chilean culture.
  • B. LÖ
    LÖ is the vehicle registration code for the district of Lörrach in the German state of Baden-Württemberg.
  • C. LOU
    LOU is the standard sports abbreviation used to represent the Louisville Panthers team.
  • D. LAL
    LAL is the standard NBA abbreviation for the Los Angeles Lakers basketball franchise.
  • E. LAL
    LAL is the IATA airport code for Lakeland Linder International Airport, a public airport serving Lakeland, Florida.
  • 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: L0L
Triple: [Tiny, Ontario, hasPostalCodePrefix, L0L]
Generated description
L0L is a Canadian postal code prefix assigned to parts of rural and small-town communities in central Ontario.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: L0L
Target entity description: L0L is a Canadian postal code prefix assigned to parts of rural and small-town communities in central Ontario.
  • A. Lolol
    Lolol is a small rural town and municipality in Chile’s Colchagua Province, known for its well-preserved colonial architecture and traditional Chilean culture.
  • B. LÖ
    LÖ is the vehicle registration code for the district of Lörrach in the German state of Baden-Württemberg.
  • C. LOU
    LOU is the standard sports abbreviation used to represent the Louisville Panthers team.
  • D. LAL
    LAL is the standard NBA abbreviation for the Los Angeles Lakers basketball franchise.
  • E. LAL
    LAL is the IATA airport code for Lakeland Linder International Airport, a public airport serving Lakeland, Florida.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea2bee2081908e5e65df9100d463 completed April 7, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fc17c874819096b656056ed2dd8a completed April 9, 2026, 7:20 p.m.
NEDg Description generation batch_69d822d76f3481909f7c04be19414b14 completed April 9, 2026, 10:06 p.m.
NED2 Entity disambiguation (via description) batch_69d859fd8f0c8190b0fec880e1180e50 completed April 10, 2026, 2:01 a.m.
Created at: April 6, 2026, 12:11 p.m.