Triple

T1216622
Position Surface form Disambiguated ID Type / Status
Subject Newfoundland and Labrador E26119 entity
Predicate postalAbbreviation P43 FINISHED
Object NL
NL is the official two-letter Canada Post abbreviation for the province of Newfoundland and Labrador.
E139838 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: NL | Statement: [Newfoundland and Labrador, postalAbbreviation, NL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NL
Context triple: [Newfoundland and Labrador, postalAbbreviation, NL]
  • A. NL
    NL is the commonly used abbreviation for Major League Baseball’s National League, one of its two primary professional baseball leagues in North America.
  • B. NL-NB
    NL-NB is the ISO 3166-2 code representing the Dutch province of North Brabant.
  • C. NH
    NH is the official two-letter United States Postal Service abbreviation for the state of New Hampshire.
  • D. NU
    NU is the official two-letter Canada Post abbreviation for the northern Canadian territory of Nunavut.
  • E. NU
    NU is a leading Japanese national research university located in Nagoya, known for its strong programs in science, engineering, and the humanities.
  • 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: NL
Triple: [Newfoundland and Labrador, postalAbbreviation, NL]
Generated description
NL is the official two-letter Canada Post abbreviation for the province of Newfoundland and Labrador.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NL
Target entity description: NL is the official two-letter Canada Post abbreviation for the province of Newfoundland and Labrador.
  • A. NL
    NL is the commonly used abbreviation for Major League Baseball’s National League, one of its two primary professional baseball leagues in North America.
  • B. NL-NB
    NL-NB is the ISO 3166-2 code representing the Dutch province of North Brabant.
  • C. NH
    NH is the official two-letter United States Postal Service abbreviation for the state of New Hampshire.
  • D. NU
    NU is the official two-letter Canada Post abbreviation for the northern Canadian territory of Nunavut.
  • E. NU
    NU is a leading Japanese national research university located in Nagoya, known for its strong programs in science, engineering, and the humanities.
  • 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_69a4948331fc8190b531ac9bec71c491 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be06d6308190a44c505e6b5e8d42 completed March 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac831fb6bc8190907f36e52489ec5c completed March 7, 2026, 7:57 p.m.
NEDg Description generation batch_69ac838fc3d08190aa43d7f2767fe7d2 completed March 7, 2026, 7:59 p.m.
NED2 Entity disambiguation (via description) batch_69ac8425ab408190a25c0f5db40ae77f completed March 7, 2026, 8:01 p.m.
Created at: March 1, 2026, 7:46 p.m.