Triple

T8091887
Position Surface form Disambiguated ID Type / Status
Subject Smith–Ninth Streets E188885 entity
Predicate servedByLine P1293 FINISHED
Object G
G is a New York City Subway service that runs along the IND Crosstown Line, connecting Brooklyn and Queens without entering Manhattan.
E92816 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: G | Statement: [Smith–Ninth Streets, servedByLine, G]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: G
Context triple: [Smith–Ninth Streets, servedByLine, G]
  • A. Ga
    Ga is a Kwa language spoken primarily by the Ga people in and around Accra, the capital region of Ghana.
  • B. GU
    GU is a United Kingdom postcode area covering Guildford and surrounding parts of Surrey and nearby counties.
  • C. GU
    GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
  • D. G4
    G4 is a family of PowerPC microprocessors developed by Motorola and used in various Apple Macintosh computers in the late 1990s and early 2000s.
  • E. GG
    GG is the standard abbreviation for Germany’s constitution, the Basic Law for the Federal Republic of Germany.
  • 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: G
Triple: [Smith–Ninth Streets, servedByLine, G]
Generated description
G is a New York City Subway service that runs along the IND Crosstown Line, connecting Brooklyn and Queens without entering Manhattan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: G
Target entity description: G is a New York City Subway service that runs along the IND Crosstown Line, connecting Brooklyn and Queens without entering Manhattan.
  • A. Ga
    Ga is a Kwa language spoken primarily by the Ga people in and around Accra, the capital region of Ghana.
  • B. GU
    GU is a United Kingdom postcode area covering Guildford and surrounding parts of Surrey and nearby counties.
  • C. GU
    GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
  • D. G4
    G4 is a family of PowerPC microprocessors developed by Motorola and used in various Apple Macintosh computers in the late 1990s and early 2000s.
  • E. GG chosen
    GG was the original designation for New York City's G subway service, a crosstown line that runs through Brooklyn and Queens without entering Manhattan.
  • F. None of above.

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_69ca82b7b3e88190b9041ab0ef28b3cb completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42217a1881909792b08a2f06fb75 completed March 31, 2026, 3:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc640dbab881908a8142ac472f3408 completed April 1, 2026, 12:17 a.m.
NEDg Description generation batch_69cc651e3b4c81908408c9f08eca8e09 completed April 1, 2026, 12:21 a.m.
NED2 Entity disambiguation (via description) batch_69cc69531a3c8190b712b3df6beefb7b completed April 1, 2026, 12:39 a.m.
Created at: March 30, 2026, 5:30 p.m.