Triple

T27635795
Position Surface form Disambiguated ID Type / Status
Subject Central Corridor of St. Louis E696464 entity
Predicate traversedBy P225 FINISHED
Object Kingshighway Boulevard
Kingshighway Boulevard is a major north–south arterial road in St. Louis, Missouri, that serves as a key thoroughfare connecting numerous neighborhoods and districts across the city.
E2293289 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: Kingshighway Boulevard | Statement: [Central Corridor of St. Louis, traversedBy, Kingshighway Boulevard]
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: Kingshighway Boulevard
Triple: [Central Corridor of St. Louis, traversedBy, Kingshighway Boulevard]
Generated description
Kingshighway Boulevard is a major north–south arterial road in St. Louis, Missouri, that serves as a key thoroughfare connecting numerous neighborhoods and districts across the city.

Provenance (5 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_69ef5909f3848190805f35b76833e722 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f63127da048190aed144e27b34e24e completed May 2, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7a883512bc8190b103c3761e70feea completed Aug. 11, 2026, 2:25 a.m.
NEDg Description generation batch_6a7a88abc51c8190bc8b41d5746c88b4 completed Aug. 11, 2026, 2:27 a.m.
NED2 Entity disambiguation (via description) batch_6a7a88d6ee3c8190a7e9452c304e53d8 completed Aug. 11, 2026, 2:28 a.m.
Created at: April 27, 2026, 2:23 p.m.