Triple

T8096601
Position Surface form Disambiguated ID Type / Status
Subject Manhattan E189000 entity
Predicate hasMediaCenter P38458 FINISHED
Object Times Square E471 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: Times Square | Statement: [Manhattan, hasMediaCenter, Times Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Times Square
Context triple: [Manhattan, hasMediaCenter, Times Square]
  • A. Times Square chosen
    Times Square is a major commercial and entertainment hub in Midtown Manhattan, famous for its bright billboards, Broadway theaters, and New Year’s Eve ball drop.
  • B. 4 Times Square
    4 Times Square is a prominent skyscraper in Midtown Manhattan known for its early adoption of green building technologies and its large illuminated signage in Times Square.
  • C. One Times Square
    One Times Square is a famous skyscraper in New York City best known as the site of the annual New Year’s Eve ball drop in Times Square.
  • D. Union Square
    Union Square is a major commercial and cultural hub in downtown San Francisco, known for its upscale shopping, theaters, hotels, and vibrant urban plaza.
  • E. Union Square
    Union Square is a landscaped public plaza and reflecting pool area located just west of the U.S. Capitol in Washington, D.C., serving as a prominent gathering and ceremonial space.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasMediaCenter
Context triple: [Manhattan, hasMediaCenter, Times Square]
  • A. hasMediaHub
    Indicates that one entity possesses, contains, or is associated with a central platform or facility for managing, distributing, or accessing media content.
  • B. isMediaCenterOf
    Indicates that a location or facility serves as the primary hub for managing, producing, or distributing media content for a particular organization, region, or system.
  • C. hasMediaFacilities chosen
    Indicates that an entity possesses or provides access to media-related infrastructure or equipment (such as studios, recording, broadcasting, or production facilities).
  • D. supportsMediaManagement
    Indicates that one entity provides functionality or assistance for organizing, handling, or controlling media content for another entity.
  • E. hasMediaOutlet
    Indicates that one entity possesses, controls, or is associated with a media outlet (such as a newspaper, TV channel, or online news platform).
  • F. None of above.

Provenance (4 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_69ca82b886d88190a9cba0d5a4a27521 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb429319048190b612c8060a9a24d2 completed March 31, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbe8e3fc88190aaf3bbfa54f4c8ec completed April 1, 2026, 6:43 a.m.
PD Predicate disambiguation batch_69cb04a14cd88190a79ed26cbeec1c33 completed March 30, 2026, 11:17 p.m.
Created at: March 30, 2026, 5:30 p.m.