Triple

T14780649
Position Surface form Disambiguated ID Type / Status
Subject Gilly E347379 entity
Predicate travelsTo P21947 FINISHED
Object the Wall E960512 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: the Wall | Statement: [Gilly, travelsTo, the Wall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: the Wall
Context triple: [Gilly, travelsTo, the Wall]
  • A. the Wall chosen
    The Wall is a colossal ice fortification in the far north of Westeros that serves as a barrier against the dangers beyond in the world of "A Song of Ice and Fire" and "Game of Thrones."
  • B. Storm King Wall
    Storm King Wall is a large-scale, serpentine dry-stone wall artwork by British sculptor Andy Goldsworthy, winding through the landscape of Storm King Art Center in New York.
  • C. Wall
    Wall is a village in Northumberland, England, known for its proximity to Hadrian’s Wall and its historic rural character.
  • D. Wall
    Wall is a common English surname borne by various notable individuals across sports, politics, and the arts.
  • E. The Wall
    The Wall is the towering left-field wall at Fenway Park in Boston, famously known for challenging hitters and shaping the ballpark’s unique character.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deca9c7cac8190ba900df95e42e318 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24b626c48190a6aa9eda43539246 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:31 a.m.