Triple

T19610265
Position Surface form Disambiguated ID Type / Status
Subject Minnesota state trunk highway system E470710 entity
Predicate hasSignShape P9766 FINISHED
Object white silhouette of Minnesota on blue background for state routes LITERAL 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: white silhouette of Minnesota on blue background for state routes | Statement: [Minnesota state trunk highway system, hasSignShape, white silhouette of Minnesota on blue background for state routes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSignShape
Context triple: [Minnesota state trunk highway system, hasSignShape, white silhouette of Minnesota on blue background for state routes]
  • A. hasSign chosen
    Indicates that an entity possesses, displays, or is associated with a particular sign or symbol.
  • B. hasSignFor
    Indicates that one entity displays, bears, or provides a sign, symbol, or notice that represents, directs attention to, or gives information about another entity.
  • C. signType
    Indicates the specific category or kind of sign involved in the relationship or action.
  • D. hasBillShape
    Indicates that one entity has a bill whose shape matches the specified form or category.
  • E. hasSignatureVisualStyle
    Indicates that an entity is characterized by a distinctive and recognizable visual style that sets it apart from others.
  • F. None of above.

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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640cb180c8190ba96ffb69c24e2e1 completed April 20, 2026, 3:05 p.m.
PD Predicate disambiguation batch_69e514e166dc8190a0f147e0b4c8bbe7 completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 1:43 p.m.