Triple

T8906765
Position Surface form Disambiguated ID Type / Status
Subject School of Naval Architecture, Ocean and Civil Engineering E212079 entity
Predicate abbreviation P43 FINISHED
Object NAOCE
NAOCE is an academic school specializing in naval architecture, ocean engineering, and civil engineering.
E766394 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: NAOCE | Statement: [School of Naval Architecture, Ocean and Civil Engineering, abbreviation, NAOCE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NAOCE
Context triple: [School of Naval Architecture, Ocean and Civil Engineering, abbreviation, NAOCE]
  • A. NAOB
    NAOB is the standard comprehensive Norwegian dictionary published by the Norwegian Academy.
  • B. NOA
    NOA is the three-letter National Rail station code for Newton-on-Ayr railway station in South Ayrshire, Scotland.
  • C. NACO
    NACO (Name Authority Cooperative Program) is an international cooperative cataloging initiative in which libraries contribute standardized name authority records to shared databases to improve consistency and access in library catalogs.
  • D. NOC
    NOC is the stock ticker symbol for Northrop Grumman Corporation, a major American aerospace and defense technology company.
  • E. NUAS
    NUAS is the abbreviation for the Northumbrian Universities Air Squadron, a Royal Air Force training unit for university students in the North East of England.
  • 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: NAOCE
Triple: [School of Naval Architecture, Ocean and Civil Engineering, abbreviation, NAOCE]
Generated description
NAOCE is an academic school specializing in naval architecture, ocean engineering, and civil engineering.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NAOCE
Target entity description: NAOCE is an academic school specializing in naval architecture, ocean engineering, and civil engineering.
  • A. NAOB
    NAOB is the standard comprehensive Norwegian dictionary published by the Norwegian Academy.
  • B. NOA
    NOA is the three-letter National Rail station code for Newton-on-Ayr railway station in South Ayrshire, Scotland.
  • C. NACO
    NACO (Name Authority Cooperative Program) is an international cooperative cataloging initiative in which libraries contribute standardized name authority records to shared databases to improve consistency and access in library catalogs.
  • D. NOC
    NOC is the stock ticker symbol for Northrop Grumman Corporation, a major American aerospace and defense technology company.
  • E. NUAS
    NUAS is the abbreviation for the Northumbrian Universities Air Squadron, a Royal Air Force training unit for university students in the North East of England.
  • 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_69ca839255248190b43984294abd92ae completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc64c51d6c819098dc33a480dfd462 completed April 1, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba2cb5e48190813e9c08198149b0 completed April 3, 2026, 1:01 p.m.
NEDg Description generation batch_69cfbaf8aa4c8190821ace3f0f53a9b3 completed April 3, 2026, 1:04 p.m.
NED2 Entity disambiguation (via description) batch_69cfbb9585688190b3aa3d817bafba51 completed April 3, 2026, 1:07 p.m.
Created at: March 30, 2026, 6:55 p.m.