Triple

T6478967
Position Surface form Disambiguated ID Type / Status
Subject Grasmere E146140 entity
Predicate adjacentTo P224 FINISHED
Object Old Town E68814 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: [Grasmere, adjacentTo, Old Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old Town
Context triple: [Grasmere, adjacentTo, Old Town]
  • A. Old Town
    Old Town is the historic waterfront district of Alexandria, Virginia, known for its preserved 18th- and 19th-century architecture, cobblestone streets, and vibrant shops and restaurants.
  • B. Old Town chosen
    Old Town is the historic central district of Olkusz, characterized by its preserved medieval urban layout, traditional architecture, and cultural landmarks.
  • C. 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.
  • D. 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.
  • E. Old Town
    Old Town is the historic medieval heart of Edinburgh, Scotland, known for its narrow closes, iconic Royal Mile, and well-preserved architecture.
  • 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_69c008fec7408190af7b146dc63d9750 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a4d35f08190a94143367b1d45c5 completed March 22, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653aa82808190a1e9d420e81d7839 completed March 27, 2026, 9:53 a.m.
Created at: March 22, 2026, 4:51 p.m.