Triple

T11753430
Position Surface form Disambiguated ID Type / Status
Subject Westfalenstadion E279463 entity
Predicate hasNickname P39 FINISHED
Object Yellow Wall E279465 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: Yellow Wall | Statement: [Westfalenstadion, hasNickname, Yellow Wall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yellow Wall
Context triple: [Westfalenstadion, hasNickname, Yellow Wall]
  • A. Yellow Wall chosen
    The Yellow Wall is the famously massive, tightly packed standing terrace of Borussia Dortmund supporters that creates one of the most intense football atmospheres in the world.
  • B. White Wall
    White Wall is a notable natural feature within Quill/Boven National Park, likely a prominent cliff or rock face popular with hikers and climbers.
  • C. White Walls
    White Walls is the English meaning of the ancient Egyptian name "Ineb-hedj," traditionally associated with the early capital city of Memphis.
  • D. Painted Wall
    Painted Wall is a towering, sheer cliff face in Colorado’s Black Canyon of the Gunnison National Park, renowned for its dramatic height and striking, streaked rock patterns.
  • E. Wall to Wall
    Wall to Wall is a British television production company known for creating popular factual and entertainment programmes for major UK broadcasters.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a50b8a14819092a7397d73f0a8e3 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01a21559c819097d0287dd8e2f411 completed April 28, 2026, 2:23 a.m.
Created at: April 8, 2026, 9:41 p.m.