Triple

T16314936
Position Surface form Disambiguated ID Type / Status
Subject Dùn Èideann E396149 entity
Predicate hasFeature P182 FINISHED
Object Old Town E682008 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: Old Town | Statement: [Dùn Èideann, hasFeature, Old Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Old Town
Context triple: [Dùn Èideann, hasFeature, Old Town]
  • A. Old Town
    Old Town is a historic Chicago neighborhood known for its preserved Victorian-era architecture, vibrant arts and comedy scene, and lively dining and nightlife options.
  • B. Old Town
    Old Town is the medieval historic center of Kraków, renowned for its well-preserved architecture, bustling Main Market Square, and rich cultural heritage.
  • C. Old Town
    Old Town is a residential neighborhood on Staten Island, New York City, known as one of the island’s older coastal communities with local transit access and small-scale commercial areas.
  • D. Old Town chosen
    Old Town is a historic residential area within the port town of Bideford in Devon, England, characterized by its older buildings and traditional streets.
  • E. Old Town
    Old Town is the historic central district of Krosno, characterized by preserved architecture, cultural landmarks, and a traditional urban layout.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e288de57cc81908cec93309347c385 completed April 17, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001fa88e8c8190b0423b60389896dc completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:06 a.m.