Triple

T22105373
Position Surface form Disambiguated ID Type / Status
Subject The Times Group E546271 entity
Predicate owns P347 FINISHED
Object TimesCity
TimesCity is an online lifestyle and local search platform from India that provides listings and reviews for restaurants, nightlife, movies, and events.
E1518185 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: TimesCity | Statement: [The Times Group, owns, TimesCity]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TimesCity
Context triple: [The Times Group, owns, TimesCity]
  • A. Clock City
    Clock City is a nickname for Bristol, Connecticut, historically known for its prominent clock-making industry.
  • B. Ten City
    Ten City is an American house music group from Chicago known for pioneering soulful, vocal-driven dance tracks in the late 1980s and early 1990s.
  • C. Thread City
    Thread City is the nickname of Willimantic, Connecticut, reflecting its historic prominence as a major center of textile and thread manufacturing.
  • D. Circle City
    Circle City is a nickname for Indianapolis, a major Midwestern U.S. city famed for its auto racing heritage and the Indianapolis 500.
  • E. Block City
    Block City is a compact, block-themed battle arena course featured in the multiplayer Battle Mode of Mario Kart: Double Dash!!.
  • 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: TimesCity
Triple: [The Times Group, owns, TimesCity]
Generated description
TimesCity is an online lifestyle and local search platform from India that provides listings and reviews for restaurants, nightlife, movies, and events.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TimesCity
Target entity description: TimesCity is an online lifestyle and local search platform from India that provides listings and reviews for restaurants, nightlife, movies, and events.
  • A. Clock City
    Clock City is a nickname for Bristol, Connecticut, historically known for its prominent clock-making industry.
  • B. Ten City
    Ten City is an American house music group from Chicago known for pioneering soulful, vocal-driven dance tracks in the late 1980s and early 1990s.
  • C. Thread City
    Thread City is the nickname of Willimantic, Connecticut, reflecting its historic prominence as a major center of textile and thread manufacturing.
  • D. Circle City
    Circle City is a nickname for Indianapolis, a major Midwestern U.S. city famed for its auto racing heritage and the Indianapolis 500.
  • E. Block City
    Block City is a compact, block-themed battle arena course featured in the multiplayer Battle Mode of Mario Kart: Double Dash!!.
  • 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12918d7a4819080283c287a253c9f completed April 28, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a87a9a13c8190a8c9c2f9d0061934 completed May 18, 2026, 3:29 a.m.
NEDg Description generation batch_6a0a88b10a508190ad127afc699056f2 completed May 18, 2026, 3:34 a.m.
NED2 Entity disambiguation (via description) batch_6a0a898963a081909fba51dfa33b1218 completed May 18, 2026, 3:37 a.m.
Created at: April 16, 2026, 8:30 p.m.