Triple

T29622507
Position Surface form Disambiguated ID Type / Status
Subject U.S. Route 240 historic alignment E755035 entity
Predicate historicalRouteNumber P192753 FINISHED
Object U.S. Route 240
U.S. Route 240 was a former U.S. Highway that connected Washington, D.C., to Frederick, Maryland, before being largely replaced by Interstate 270.
 E1882413 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: U.S. Route 240 | Statement: [U.S. Route 240 historic alignment, historicalRouteNumber, U.S. Route 240]
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: U.S. Route 240
Triple: [U.S. Route 240 historic alignment, historicalRouteNumber, U.S. Route 240]
Generated description
U.S. Route 240 was a former U.S. Highway that connected Washington, D.C., to Frederick, Maryland, before being largely replaced by Interstate 270.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: historicalRouteNumber
Context triple: [U.S. Route 240 historic alignment, historicalRouteNumber, U.S. Route 240]
  • A. historicalRouteNumberOf chosen
    Indicates that one route number was previously used to designate the same route or segment as another, but is no longer its current official number.
  • B. formerRouteNumber
    Indicates that an entity previously had a specific route number before being renumbered, discontinued, or otherwise changed.
  • C. historicalRouteName
    Indicates that an entity has or is associated with a name it held historically as a route or pathway, distinct from its current official name.
  • D. historicalRouteVia
    Indicates that a historical route or path passed through or was connected by a particular intermediate location or segment.
  • E. historicRoute
    Indicates that a route has historical significance, typically due to its age, past usage, or role in notable events.
  • 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_69f0ef86b6ec8190a87fff07fd983b1e completed April 28, 2026, 5:33 p.m.
NER Named-entity recognition batch_69fe91383a1c81909266e40c3c3ede6c completed May 9, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a26aa613a14819090501139c0c4054c completed June 8, 2026, 11:41 a.m.
NEDg Description generation batch_6a26b557450081909c03ff34c171a007 completed June 8, 2026, 12:28 p.m.
NED2 Entity disambiguation (via description) batch_6a26b934b00c819087c306fb9dbc427d completed June 8, 2026, 12:44 p.m.
PD Predicate disambiguation batch_69fe8fde094081908f0f121664fbb5c7 completed May 9, 2026, 1:37 a.m.
Created at: April 28, 2026, 6:35 p.m.