Triple

T7803274
Position Surface form Disambiguated ID Type / Status
Subject Atlético de Kolkata E180483 entity
Predicate formerName P65 FINISHED
Object ATK E663639 NE FINISHED

How this triple was built (2 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: ATK | Statement: [Atlético de Kolkata, formerName, ATK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ATK
Context triple: [Atlético de Kolkata, formerName, ATK]
  • A. ATK
    ATK is the stock ticker symbol for WS Atkins, a British multinational engineering and design consultancy firm.
  • B. ATK
    ATK is the IATA airport code for Atqasuk Edward Burnell Sr. Memorial Airport serving the village of Atqasuk in Alaska, United States.
  • C. ATK chosen
    ATK was a Kolkata-based professional football club that became one of the most successful teams in the Indian Super League before merging with Mohun Bagan.
  • D. ATK Sporting
    ATK Sporting is a business unit specializing in sporting and outdoor products, particularly ammunition and shooting sports equipment, formerly operated under defense contractor Alliant Techsystems.
  • E. ATN
    ATN most likely refers to Augmented Transition Network, a type of finite state machine used in computational linguistics and natural language processing for parsing sentences.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca827e50cc8190a92a733577184938 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf635a4648190af907a686d87f073 completed March 30, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb5a2fd718819097cee2482bca74ad completed March 31, 2026, 5:22 a.m.
Created at: March 30, 2026, 4:34 p.m.