Triple

T2424836
Position Surface form Disambiguated ID Type / Status
Subject N1 highway E53501 entity
Predicate routeNumber P1864 FINISHED
Object N1
N1 is a major national highway route, typically serving as a primary north–south or intercity transport corridor in the country’s road network.
 E265811 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: N1 | Statement: [N1 highway, routeNumber, N1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: N1
Context triple: [N1 highway, routeNumber, N1]
  • A. N
    The N is a New York City Subway service that runs along the Broadway Line in Manhattan and connects Queens, Manhattan, and Brooklyn.
  • B. NI
    NI is the vehicle registration code used on license plates for the German federal state of Lower Saxony.
  • C. Ng
    Ng is a common Chinese surname found across various Chinese-speaking communities and the diaspora, often representing the Cantonese or Hokkien romanization of the character 吳 (Wu).
  • 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: N1
Triple: [N1 highway, routeNumber, N1]
Generated description
N1 is a major national highway route, typically serving as a primary north–south or intercity transport corridor in the country’s road network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: N1
Target entity description: N1 is a major national highway route, typically serving as a primary north–south or intercity transport corridor in the country’s road network.
  • A. N
    The N is a New York City Subway service that runs along the Broadway Line in Manhattan and connects Queens, Manhattan, and Brooklyn.
  • B. NI
    NI is the vehicle registration code used on license plates for the German federal state of Lower Saxony.
  • C. Ng
    Ng is a common Chinese surname found across various Chinese-speaking communities and the diaspora, often representing the Cantonese or Hokkien romanization of the character 吳 (Wu).
  • D. NU
    NU is a leading Japanese national research university located in Nagoya, known for its strong programs in science, engineering, and the humanities.
  • E. NU
    NU is the official two-letter Canada Post abbreviation for the northern Canadian territory of Nunavut.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc99a773c819092d5f3c297b83887 completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf61088481909d79e822e4071456 completed March 9, 2026, 12:38 p.m.
NEDg Description generation batch_69aec2e4fee481909704d329ad92f4ad completed March 9, 2026, 12:53 p.m.
NED2 Entity disambiguation (via description) batch_69aec39bb6a4819084652814e18f60d4 completed March 9, 2026, 12:56 p.m.
Created at: March 6, 2026, 9:42 p.m.