Triple

T5708247
Position Surface form Disambiguated ID Type / Status
Subject North American Harvard E125838 entity
Predicate alsoKnownAs P39 FINISHED
Object SNJ
SNJ is the U.S. Navy variant of the North American T-6 Texan advanced trainer aircraft used extensively during and after World War II.
 E540239 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: SNJ | Statement: [North American Harvard, alsoKnownAs, SNJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SNJ
Context triple: [North American Harvard, alsoKnownAs, SNJ]
  • A. SJ
    SJ is Sweden’s primary state-owned passenger train operator, running long-distance and regional rail services across the country.
  • B. Sno
    Sno is a small mountain village in northeastern Georgia’s Kazbegi region, known for its traditional stone towers and scenic Caucasus landscapes.
  • C. SNH
    SNH is the abbreviation for NatureScot, the public body responsible for protecting and promoting Scotland’s natural heritage.
  • D. Flying J
    Flying J is a chain of highway travel centers and truck stops in North America, known for providing fuel, food, and amenities for professional drivers and motorists.
  • E. SJM
    SJM is the National Rail station code for St. James railway station in Liverpool, England.
  • 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: SNJ
Triple: [North American Harvard, alsoKnownAs, SNJ]
Generated description
SNJ is the U.S. Navy variant of the North American T-6 Texan advanced trainer aircraft used extensively during and after World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SNJ
Target entity description: SNJ is the U.S. Navy variant of the North American T-6 Texan advanced trainer aircraft used extensively during and after World War II.
  • A. SJ
    SJ is Sweden’s primary state-owned passenger train operator, running long-distance and regional rail services across the country.
  • B. Sno
    Sno is a small mountain village in northeastern Georgia’s Kazbegi region, known for its traditional stone towers and scenic Caucasus landscapes.
  • C. SNH
    SNH is the abbreviation for NatureScot, the public body responsible for protecting and promoting Scotland’s natural heritage.
  • D. Flying J
    Flying J is a chain of highway travel centers and truck stops in North America, known for providing fuel, food, and amenities for professional drivers and motorists.
  • E. SJM
    SJM is the National Rail station code for St. James railway station in Liverpool, England.
  • 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_69c0082d6fe48190b777fb383769e5c8 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0248ab6a88190be17bdc32c36e5cb completed March 22, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a6c17608190a9a808c2c77d937c completed March 22, 2026, 9:09 p.m.
NEDg Description generation batch_69c05b7c3bd48190ad8303bf1bb3ec6a completed March 22, 2026, 9:13 p.m.
NED2 Entity disambiguation (via description) batch_69c05c22c31081909a9a67d99e7c728c completed March 22, 2026, 9:16 p.m.
Created at: March 22, 2026, 3:45 p.m.