Triple

T20858361
Position Surface form Disambiguated ID Type / Status
Subject Van Buren Street Bridge E513542 entity
Predicate carries P1393 FINISHED
Object Van Buren Avenue
Van Buren Avenue is a roadway that crosses the Van Buren Street Bridge, serving as a local transportation route in its area.
 E2000546 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: Van Buren Avenue | Statement: [Van Buren Street Bridge, carries, Van Buren Avenue]
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: Van Buren Avenue
Triple: [Van Buren Street Bridge, carries, Van Buren Avenue]
Generated description
Van Buren Avenue is a roadway that crosses the Van Buren Street Bridge, serving as a local transportation route in its area.

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_69e0b4f5b01081909452f654d2fc3f50 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3a9fd7881908ae4c5c63f64efc0 completed April 21, 2026, 12:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f46a8dcf88190b7332a3292fcd458 completed June 15, 2026, 12:26 a.m.
NEDg Description generation batch_6a2f47826e888190bf53625d64da61a8 completed June 15, 2026, 12:29 a.m.
NED2 Entity disambiguation (via description) batch_6a301ae642648190a983cfa1db8c9737 completed June 15, 2026, 3:31 p.m.
Created at: April 16, 2026, 12:44 p.m.