Triple

T11118968
Position Surface form Disambiguated ID Type / Status
Subject Delanco E262967 entity
Predicate servedByStation P726 FINISHED
Object Delanco station
Delanco station is a light rail stop on NJ Transit's River Line in Delanco Township, New Jersey, providing local commuter service between Camden and Trenton.
 E906034 NE FINISHED

How this triple was built (4 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: Delanco station | Statement: [Delanco, servedByStation, Delanco station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Delanco station
Context triple: [Delanco, servedByStation, Delanco station]
  • A. Arriola station
    Arriola station is a passenger station on Line 1 of the Lima Metro system in Lima, Peru.
  • B. Agüero station
    Agüero station is a stop on Buenos Aires' underground metro system, serving passengers on Line D in the city’s subway network.
  • C. Belen station
    Belen station is a commuter rail station in Belen, New Mexico, serving as a key stop on the New Mexico Rail Runner Express line.
  • D. Echeverría station
    Echeverría station is a stop on Buenos Aires' Line B subway, serving the Villa Urquiza neighborhood in the northern part of the city.
  • E. Santiago Bueras station
    Santiago Bueras station is an underground stop on Santiago’s Metro network serving Line 5 in the western part of the city.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Delanco station
Triple: [Delanco, servedByStation, Delanco station]
Generated description
Delanco station is a light rail stop on NJ Transit's River Line in Delanco Township, New Jersey, providing local commuter service between Camden and Trenton.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Delanco station
Target entity description: Delanco station is a light rail stop on NJ Transit's River Line in Delanco Township, New Jersey, providing local commuter service between Camden and Trenton.
  • A. Arriola station
    Arriola station is a passenger station on Line 1 of the Lima Metro system in Lima, Peru.
  • B. Agüero station
    Agüero station is a stop on Buenos Aires' underground metro system, serving passengers on Line D in the city’s subway network.
  • C. Belen station
    Belen station is a commuter rail station in Belen, New Mexico, serving as a key stop on the New Mexico Rail Runner Express line.
  • D. Echeverría station
    Echeverría station is a stop on Buenos Aires' Line B subway, serving the Villa Urquiza neighborhood in the northern part of the city.
  • E. Santiago Bueras station
    Santiago Bueras station is an underground stop on Santiago’s Metro network serving Line 5 in the western part of the city.
  • F. None of above. chosen

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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79af6fe448190b042c2e77b855b05 completed April 9, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d8084a88190918f1f94ca0119ed completed April 19, 2026, 1:18 a.m.
NEDg Description generation batch_69e4307baca48190bbf82f8235d7e2c7 completed April 19, 2026, 1:31 a.m.
NED2 Entity disambiguation (via description) batch_69e43771eaec8190be9bb709723931e0 completed April 19, 2026, 2:01 a.m.
Created at: April 8, 2026, 9:28 p.m.