Triple

T11105
Position Surface form Disambiguated ID Type / Status
Subject Washington Metro E225 entity
Predicate hasSystemMap P182 FINISHED
Object Washington Metro system map 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: Washington Metro system map | Statement: [Washington Metro, hasSystemMap, Washington Metro system map]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSystemMap
Context triple: [Washington Metro, hasSystemMap, Washington Metro system map]
  • A. hasOfficialStateTree
    Indicates that a political entity has a designated tree recognized as its official state symbol.
  • B. hasRepresentationIn
    Indicates that one entity is represented, depicted, or encoded within another entity, such as a concept, object, or data structure having a corresponding representation in a specific medium or context.
  • C. hasFeature chosen
    Indicates that an entity possesses, exhibits, or includes a particular characteristic, attribute, or component.
  • D. hasNotableImplementationAt
    Indicates that something has a significant or noteworthy implementation located at or associated with a particular place, context, or platform.
  • E. hasCollection
    Indicates that an entity possesses, maintains, or is associated with a set or group of related items treated as a collection.
  • 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_69a23d7ad88c8190bffe8ab091d86642 completed Feb. 28, 2026, 12:57 a.m.
NER Named-entity recognition batch_69a242cd8fb481909562f114f4ce7700 completed Feb. 28, 2026, 1:20 a.m.
PD Predicate disambiguation batch_69a23fe6b0bc8190bcce9b74f2c5fb08 completed Feb. 28, 2026, 1:07 a.m.
Created at: Feb. 28, 2026, 1:02 a.m.