Triple

T20193809
Position Surface form Disambiguated ID Type / Status
Subject Johto E493032 entity
Predicate hasTown P847 FINISHED
Object Blackthorn City NE NERFINISHED

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: Blackthorn City | Statement: [Johto, hasTown, Blackthorn City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blackthorn City
Context triple: [Johto, hasTown, Blackthorn City]
  • A. Blackthorn City chosen
    Blackthorn City is a mountainous, late-game Pokémon city in the Johto region, best known for its Dragon-type Gym and proximity to the Ice Path.
  • B. Keyhaven
    Keyhaven is a small coastal village in Hampshire, England, known for its sailing, salt marshes, and views across the Solent toward the Isle of Wight.
  • C. Darksville
    Darksville is an unincorporated community located in Randolph County, Missouri, in the United States.
  • D. Sea Stone City
    Sea Stone City is a coastal fortification area within the Old Dragon Head section of the Great Wall of China, known for its seaside defenses and historic maritime significance.
  • E. Krimson City
    Krimson City is a dark, nightmarish urban environment central to the events of the survival horror game series The Evil Within.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ad7270081908ed8513a8363e9b1 completed April 20, 2026, 6:05 p.m.
Created at: April 11, 2026, 11:37 p.m.