Triple

T23931753
Position Surface form Disambiguated ID Type / Status
Subject Block 37 E602516 entity
Predicate hasPrimaryStreetFrontage P106122 FINISHED
Object State Street
State Street is a major historic commercial thoroughfare in downtown Chicago, Illinois, known for its shopping, theaters, and central role in the city's urban life.
 E162843 NE FINISHED

How this triple was built (3 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: State Street | Statement: [Block 37, hasPrimaryStreetFrontage, State Street]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: State Street
Triple: [Block 37, hasPrimaryStreetFrontage, State Street]
Generated description
State Street is a major historic commercial thoroughfare in downtown Chicago, Illinois, known for its shopping, theaters, and central role in the city's urban life.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasPrimaryStreetFrontage
Context triple: [Block 37, hasPrimaryStreetFrontage, State Street]
  • A. hasStreetFront
    Indicates that one entity directly borders or faces onto a particular street along its frontage.
  • B. hasFrontageRoads
    Indicates that a primary road or highway is accompanied by one or more adjacent frontage roads running alongside it.
  • C. streetFrontageOn chosen
    Indicates that a property or parcel directly borders or faces a particular street along at least one of its sides.
  • D. hasTypicalFrontage
    Indicates that something normally faces or fronts onto something else, such as a property having its usual frontage on a particular street or area.
  • E. hasMainResidentialStreet
    Indicates that an entity is associated with or served by a specific primary street used predominantly for residential purposes.
  • F. None of above.

Provenance (6 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_69e2953cf6e081909b8e25a10a52dddc completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f1cf9c223881908e5fa4b5564848e6 completed April 29, 2026, 9:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f7e6f1e288190bdd49b84f55eb47f completed May 21, 2026, 9:51 p.m.
NEDg Description generation batch_6a0f7f6d3d0c8190a408c4dee4ac1f93 completed May 21, 2026, 9:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0f803e39408190b612e1bade70bac2 completed May 21, 2026, 9:59 p.m.
PD Predicate disambiguation batch_69f16151ebdc819086e9e1d7cc1f4f3c completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 8:58 p.m.