Triple

T9562936
Position Surface form Disambiguated ID Type / Status
Subject T2 tanker E230718 entity
Predicate subtype P1244 FINISHED
Object T2-SE-A1
T2-SE-A1 is a World War II–era American oil tanker design, built in large numbers for the U.S. Maritime Commission as a standard T2-class ship used to transport fuel across the oceans.
 E806606 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: T2-SE-A1 | Statement: [T2 tanker, subtype, T2-SE-A1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: T2-SE-A1
Context triple: [T2 tanker, subtype, T2-SE-A1]
  • A. T2
    T2 is San Francisco International Airport’s Terminal 2, a modern passenger terminal serving domestic flights with updated amenities and design.
  • B. T2
    T2 is a passenger terminal at Berlin Brandenburg Airport that handles check-in, security, and boarding operations for departing and arriving travelers.
  • C. T2
    T2 is one of the tram lines of the Trambaix light rail network serving the Barcelona metropolitan area.
  • D. T2
    T2 is a shorthand title for the 1991 science fiction action film "Terminator 2: Judgment Day," directed by James Cameron and starring Arnold Schwarzenegger.
  • E. T2
    T2 is a Sydney Trains suburban rail service designation used for the Inner West & Leppington Line in the Sydney metropolitan network.
  • 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: T2-SE-A1
Triple: [T2 tanker, subtype, T2-SE-A1]
Generated description
T2-SE-A1 is a World War II–era American oil tanker design, built in large numbers for the U.S. Maritime Commission as a standard T2-class ship used to transport fuel across the oceans.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: T2-SE-A1
Target entity description: T2-SE-A1 is a World War II–era American oil tanker design, built in large numbers for the U.S. Maritime Commission as a standard T2-class ship used to transport fuel across the oceans.
  • A. T2
    T2 is San Francisco International Airport’s Terminal 2, a modern passenger terminal serving domestic flights with updated amenities and design.
  • B. T2
    T2 is a passenger terminal at Berlin Brandenburg Airport that handles check-in, security, and boarding operations for departing and arriving travelers.
  • C. T2
    T2 is one of the tram lines of the Trambaix light rail network serving the Barcelona metropolitan area.
  • D. T2
    T2 is a Sydney Trains suburban rail service designation used for the Inner West & Leppington Line in the Sydney metropolitan network.
  • E. T2
    T2 is a shorthand title for the 1991 science fiction action film "Terminator 2: Judgment Day," directed by James Cameron and starring Arnold Schwarzenegger.
  • 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_69ca847e53a88190a60eed7e02257f10 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9965e7b881909df98e933db38092 completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152a014a48190925d52967e1fbffe completed April 4, 2026, 6:04 p.m.
NEDg Description generation batch_69d1539bad8481909f9bd060aa3b651c completed April 4, 2026, 6:08 p.m.
NED2 Entity disambiguation (via description) batch_69d154567f408190a848eea4ca905fb6 completed April 4, 2026, 6:11 p.m.
Created at: March 30, 2026, 8:03 p.m.