Triple

T19823822
Position Surface form Disambiguated ID Type / Status
Subject Aculco E476265 entity
Predicate hasStationCode P1289 FINISHED
Object ACU
ACU is the National Rail station code for Aculco railway station in the United Kingdom rail network.
 E1397506 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: ACU | Statement: [Aculco, hasStationCode, ACU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ACU
Context triple: [Aculco, hasStationCode, ACU]
  • A. ACU
    ACU is a regional payment arrangement among Asian countries that facilitates multilateral clearing of trade transactions to reduce reliance on hard currencies.
  • B. ACU
    ACU (the Association of Commonwealth Universities) is an international network of higher education institutions from Commonwealth countries that promotes collaboration, academic excellence, and educational development.
  • C. ACU
    ACU is the standard camouflage field uniform worn by soldiers of the United States Army.
  • D. AUCC
    AUCC (Association of Universities and Colleges of Canada), now known as Universities Canada, is the national organization representing Canadian universities and advocating for higher education and research.
  • E. CUA
    CUA is a joint MIT–Harvard research center focused on the study of ultracold atomic physics and quantum phenomena.
  • 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: ACU
Triple: [Aculco, hasStationCode, ACU]
Generated description
ACU is the National Rail station code for Aculco railway station in the United Kingdom rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ACU
Target entity description: ACU is the National Rail station code for Aculco railway station in the United Kingdom rail network.
  • A. ACU
    ACU (the Association of Commonwealth Universities) is an international network of higher education institutions from Commonwealth countries that promotes collaboration, academic excellence, and educational development.
  • B. ACU
    ACU is the standard camouflage field uniform worn by soldiers of the United States Army.
  • C. ACU
    ACU is a regional payment arrangement among Asian countries that facilitates multilateral clearing of trade transactions to reduce reliance on hard currencies.
  • D. AUCC
    AUCC (Association of Universities and Colleges of Canada), now known as Universities Canada, is the national organization representing Canadian universities and advocating for higher education and research.
  • E. CUA
    CUA is a joint MIT–Harvard research center focused on the study of ultracold atomic physics and quantum phenomena.
  • 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6550070c4819099e1f057b9a8849e completed April 20, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ccd22b448190b447c893ee9ffd83 completed May 16, 2026, 1:48 a.m.
NEDg Description generation batch_6a07cfe19c288190b360d1767e8fffa3 completed May 16, 2026, 2:01 a.m.
NED2 Entity disambiguation (via description) batch_6a07d0c1cbc08190bffbc27457117b82 completed May 16, 2026, 2:04 a.m.
Created at: April 10, 2026, 1:50 p.m.