Triple

T18901120
Position Surface form Disambiguated ID Type / Status
Subject The Rowan E462341 entity
Predicate centralOrganization P36509 FINISHED
Object FT&T
FT&T is the central governing and administrative organization within the fictional universe of *The Rowan* by Anne McCaffrey, overseeing telepaths and their interstellar operations.
 E1348045 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: FT&T | Statement: [The Rowan, centralOrganization, FT&T]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FT&T
Context triple: [The Rowan, centralOrganization, FT&T]
  • A. FTTM
    FTTM is the abbreviated name of the Faculty of Mining and Petroleum Engineering, an academic unit focused on education and research in mining, petroleum, and related earth resources.
  • B. FTTA
    FTTA is a U.S. law that promotes collaboration and technology transfer between federal laboratories and the private sector to commercialize government-funded innovations.
  • C. FTF
    FTF is the commonly used abbreviation for the Tunisian Football Federation, the governing body of football in Tunisia.
  • D. TTF
    TTF is the National Rail station code for Thetford railway station in Norfolk, England.
  • E. FTU
    FTU is a leading Vietnamese university renowned for its programs in economics, business, and international trade.
  • 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: FT&T
Triple: [The Rowan, centralOrganization, FT&T]
Generated description
FT&T is the central governing and administrative organization within the fictional universe of *The Rowan* by Anne McCaffrey, overseeing telepaths and their interstellar operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FT&T
Target entity description: FT&T is the central governing and administrative organization within the fictional universe of *The Rowan* by Anne McCaffrey, overseeing telepaths and their interstellar operations.
  • A. FTTM
    FTTM is the abbreviated name of the Faculty of Mining and Petroleum Engineering, an academic unit focused on education and research in mining, petroleum, and related earth resources.
  • B. FTTA
    FTTA is a U.S. law that promotes collaboration and technology transfer between federal laboratories and the private sector to commercialize government-funded innovations.
  • C. FTF
    FTF is the commonly used abbreviation for the Tunisian Football Federation, the governing body of football in Tunisia.
  • D. TTF
    TTF is the National Rail station code for Thetford railway station in Norfolk, England.
  • E. FTU
    FTU is a leading Vietnamese university renowned for its programs in economics, business, and international trade.
  • 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c52954bc8190a237627c09615ac1 completed April 20, 2026, 6:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0582bc878c8190bfb5f058aa272225 completed May 14, 2026, 8:07 a.m.
NEDg Description generation batch_6a05871baa5881908c3c0f407b2d82c0 completed May 14, 2026, 8:26 a.m.
NED2 Entity disambiguation (via description) batch_6a0587acbf1c819088bae20aa89783eb completed May 14, 2026, 8:28 a.m.
Created at: April 10, 2026, 11:58 a.m.