Triple

T2036553
Position Surface form Disambiguated ID Type / Status
Subject US 9W E44643 entity
Predicate highwayNumber P1864 FINISHED
Object 9W
9W is a U.S. highway designation used for a north–south route running primarily through New York and New Jersey along the west side of the Hudson River.
E227973 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: 9W | Statement: [US 9W, highwayNumber, 9W]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 9W
Context triple: [US 9W, highwayNumber, 9W]
  • A. 9K
    9K is the IATA airline designator assigned to Cape Air, a U.S.-based regional airline.
  • B. W
    W is one of the iconic white capital letters that make up the famous Hollywood Sign overlooking Los Angeles.
  • C. W
    The W is a local New York City Subway service that runs on the BMT Broadway Line in Manhattan and Queens, typically operating on weekdays.
  • D. W8
    W8 is a central London postcode district covering the affluent Kensington area, known for its upscale residences, shops, and cultural institutions.
  • E. 9X
    9X is the IATA airline designator assigned to Southern Airways Express, a U.S.-based regional commuter airline.
  • 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: 9W
Triple: [US 9W, highwayNumber, 9W]
Generated description
9W is a U.S. highway designation used for a north–south route running primarily through New York and New Jersey along the west side of the Hudson River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 9W
Target entity description: 9W is a U.S. highway designation used for a north–south route running primarily through New York and New Jersey along the west side of the Hudson River.
  • A. 9K
    9K is the IATA airline designator assigned to Cape Air, a U.S.-based regional airline.
  • B. W
    W is one of the iconic white capital letters that make up the famous Hollywood Sign overlooking Los Angeles.
  • C. W
    The W is a local New York City Subway service that runs on the BMT Broadway Line in Manhattan and Queens, typically operating on weekdays.
  • D. W8
    W8 is a central London postcode district covering the affluent Kensington area, known for its upscale residences, shops, and cultural institutions.
  • E. 9X
    9X is the IATA airline designator assigned to Southern Airways Express, a U.S.-based regional commuter airline.
  • 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_69a889159ec481908f9e4472d9f480c7 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9363b608190b42aa6d3f3fd78c4 completed March 7, 2026, 5:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1ff38fb881909558e4d715a4d314 completed March 9, 2026, 1:18 a.m.
NEDg Description generation batch_69ae20946a288190a3bd2a19e3608e86 completed March 9, 2026, 1:21 a.m.
NED2 Entity disambiguation (via description) batch_69ae2109d17c819094a298a822064052 completed March 9, 2026, 1:23 a.m.
Created at: March 4, 2026, 7:39 p.m.