Triple

T24650229
Position Surface form Disambiguated ID Type / Status
Subject Boeing 247 E610227 entity
Predicate airlineServiceStartRoute P66394 FINISHED
Object Chicago–Newark
Chicago–Newark is a historic early U.S. airline route connecting Chicago, Illinois, with Newark, New Jersey, that was among the first served by modern all-metal airliners.
 E1645718 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: Chicago–Newark | Statement: [Boeing 247, airlineServiceStartRoute, Chicago–Newark]
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: Chicago–Newark
Triple: [Boeing 247, airlineServiceStartRoute, Chicago–Newark]
Generated description
Chicago–Newark is a historic early U.S. airline route connecting Chicago, Illinois, with Newark, New Jersey, that was among the first served by modern all-metal airliners.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: airlineServiceStartRoute
Context triple: [Boeing 247, airlineServiceStartRoute, Chicago–Newark]
  • A. airlineServiceVia
    Indicates that an airline service operates between two locations with a specified intermediate stop or transit point.
  • B. airlineService
    Indicates that an airline operates transportation services (such as flights) between specified locations or for specified routes.
  • C. airlineServiceEntry chosen
    Indicates the initiation or presence of an airline’s operational service on a particular route, schedule, or location.
  • D. airlineContext
    Indicates a relationship, situation, or action that specifically occurs within or is constrained by an airline-related context (such as flights, carriers, or air travel operations).
  • E. airlineHubRoute
    Indicates a route that connects an airline’s designated hub airport with another airport in its network.
  • 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_69e2c4d350a481909170482bc2ce6af9 completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f41011d8048190be70329ba0bfb7c7 completed May 1, 2026, 2:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a100497a0ec8190bcf2291c7d3b1d85 completed May 22, 2026, 7:24 a.m.
NEDg Description generation batch_6a10095d986881909082cc5a32b6d56e completed May 22, 2026, 7:44 a.m.
NED2 Entity disambiguation (via description) batch_6a1009d311b08190acf35a3ed552b9c1 completed May 22, 2026, 7:46 a.m.
PD Predicate disambiguation batch_69f40ed9d47881909fcfc0d04e8d074a completed May 1, 2026, 2:24 a.m.
Created at: April 18, 2026, 2:33 a.m.