Triple

T15022978
Position Surface form Disambiguated ID Type / Status
Subject Monte Cassino Street E378131 entity
Predicate partOf P40 FINISHED
Object Tricity tourist area E374064 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: Tricity tourist area | Statement: [Monte Cassino Street, partOf, Tricity tourist area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tricity tourist area
Context triple: [Monte Cassino Street, partOf, Tricity tourist area]
  • A. Tricity
    Tricity is the urban conglomeration in northern India comprising Chandigarh and its adjoining cities of Mohali and Panchkula.
  • B. Tricity metropolitan area chosen
    The Tricity metropolitan area is an urban region in northern Poland comprising the closely linked Baltic Sea port cities of Gdańsk, Gdynia, and Sopot.
  • C. Tricity public transport network
    The Tricity public transport network is the integrated system of buses, trolleybuses, trams, and suburban rail serving the metropolitan area of Gdańsk, Gdynia, and Sopot in Poland.
  • D. Trynek
    Trynek is a residential district of the city of Gliwice in southern Poland.
  • E. Okęcie
    Okęcie is a district in Warsaw, Poland, best known for hosting the city’s main international airport and various aviation-related facilities.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded765462c819097f331c9b39c80e3 completed April 15, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dd2c96c8190a0368678584aaa16 completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:56 a.m.