Triple

T28525487
Position Surface form Disambiguated ID Type / Status
Subject Piedmont and Northern Railway E721892 entity
Predicate hadSeparateDivision P126426 FINISHED
Object North Carolina Division
The North Carolina Division was a regional operating segment of the Piedmont and Northern Railway that managed the company’s rail services within the state of North Carolina.
 E1822248 NE FINISHED

How this triple was built (3 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: North Carolina Division | Statement: [Piedmont and Northern Railway, hadSeparateDivision, North Carolina Division]
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: North Carolina Division
Triple: [Piedmont and Northern Railway, hadSeparateDivision, North Carolina Division]
Generated description
The North Carolina Division was a regional operating segment of the Piedmont and Northern Railway that managed the company’s rail services within the state of North Carolina.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hadSeparateDivision
Context triple: [Piedmont and Northern Railway, hadSeparateDivision, North Carolina Division]
  • A. wasDividedBetween
    Indicates that something was partitioned into portions that were allocated to two or more distinct recipients or groups.
  • B. hadInternalDivision
    Indicates that an entity experienced a split or conflict within its own members, factions, or components.
  • C. hadSeparateBranch chosen
    Indicates that one entity maintained a distinct, independent branch or subdivision separate from another entity.
  • D. hadDivisionInCountry
    Indicates that an organization or entity maintained a formal division, branch, or subsidiary operating within a specified country.
  • E. wasDividedFrom
    Indicates that one entity was separated or split off from another entity, resulting in two distinct parts or groups.
  • F. None of above.

Provenance (6 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_69f01a5cbcc4819083fb4e723378713e completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f64fa5ea0c819086708d4430a90a54 completed May 2, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1cac5aef4c81908d0a67cfdce2dc2f completed May 31, 2026, 9:47 p.m.
NEDg Description generation batch_6a1cacfd783481909760a61d90ab904b completed May 31, 2026, 9:49 p.m.
NED2 Entity disambiguation (via description) batch_6a1cadd09b908190afc24c7665a804c4 completed May 31, 2026, 9:53 p.m.
PD Predicate disambiguation batch_69f64cb0d8008190912e1430cfaf92aa completed May 2, 2026, 7:12 p.m.
Created at: April 28, 2026, 3:24 a.m.