Triple

T26721706
Position Surface form Disambiguated ID Type / Status
Subject SR 50 E673719 entity
Predicate urbanSegmentNameInOrlando P77536 FINISHED
Object Colonial Drive
Colonial Drive is a major east–west thoroughfare in Orlando, Florida, serving as a key commercial and commuter corridor through the city.
 E2290292 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: Colonial Drive | Statement: [SR 50, urbanSegmentNameInOrlando, Colonial Drive]
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: Colonial Drive
Triple: [SR 50, urbanSegmentNameInOrlando, Colonial Drive]
Generated description
Colonial Drive is a major east–west thoroughfare in Orlando, Florida, serving as a key commercial and commuter corridor through the city.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: urbanSegmentNameInOrlando
Context triple: [SR 50, urbanSegmentNameInOrlando, Colonial Drive]
  • A. urbanSegmentName chosen
    Indicates the specific name assigned to a segment within an urban area or city layout.
  • B. beltwayName
    Indicates that a beltway (ring road or orbital highway) has a specific name.
  • C. streetOrArea
    Indicates that one entity is a street or area associated with, located at, or relevant to the other entity.
  • D. ropewayName
    Indicates the name assigned to a ropeway (such as a cable car or aerial lift) associated with the subject.
  • E. isDowntownEndpointOf
    Indicates that a location serves as the downtown terminus or endpoint of a route, line, or path.
  • 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_69eecda481d08190aea69f2f7c745f56 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f6247480cc8190a887eedaeb94615c completed May 2, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5bb65439608190a1bb4eb2224f28b3 completed July 18, 2026, 5:22 p.m.
NEDg Description generation batch_6a5bb6e7eb348190bb1840d618a0bd1a completed July 18, 2026, 5:24 p.m.
NED2 Entity disambiguation (via description) batch_6a5bb726f7c4819094fdfe8290c6b18d completed July 18, 2026, 5:25 p.m.
PD Predicate disambiguation batch_69f623a7539c8190b71797f583da9f63 completed May 2, 2026, 4:17 p.m.
Created at: April 27, 2026, 3:41 a.m.