Triple

T22932539
Position Surface form Disambiguated ID Type / Status
Subject Tanker Airlift Control Center E569478 entity
Predicate abbreviation P43 FINISHED
Object TACC
TACC is the U.S. Air Force’s Tanker Airlift Control Center, responsible for planning, tasking, and managing global airlift and aerial refueling missions.
 E1562333 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: TACC | Statement: [Tanker Airlift Control Center, abbreviation, TACC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TACC
Context triple: [Tanker Airlift Control Center, abbreviation, TACC]
  • A. TACC
    TACC is an advanced driver-assistance feature that automatically adjusts a vehicle’s speed to maintain a safe following distance from traffic ahead.
  • B. Texas Advanced Computing Center
    The Texas Advanced Computing Center is a leading high-performance computing and data research facility that provides powerful supercomputing resources and expertise to support advanced scientific and engineering research.
  • C. TAC
    TAC is the IATA airport code for Daniel Z. Romualdez Airport serving Tacloban City in the Philippines.
  • D. TAC
    TAC is the commonly used abbreviation for Tartu Art College, an Estonian institution of higher education specializing in art and design.
  • E. TAC
    TAC is the National Rail station code for Tackley railway station in Oxfordshire, 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: TACC
Triple: [Tanker Airlift Control Center, abbreviation, TACC]
Generated description
TACC is the U.S. Air Force’s Tanker Airlift Control Center, responsible for planning, tasking, and managing global airlift and aerial refueling missions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TACC
Target entity description: TACC is the U.S. Air Force’s Tanker Airlift Control Center, responsible for planning, tasking, and managing global airlift and aerial refueling missions.
  • A. TACC
    TACC is an advanced driver-assistance feature that automatically adjusts a vehicle’s speed to maintain a safe following distance from traffic ahead.
  • B. Texas Advanced Computing Center
    The Texas Advanced Computing Center is a leading high-performance computing and data research facility that provides powerful supercomputing resources and expertise to support advanced scientific and engineering research.
  • C. TAC
    TAC is the National Rail station code for Tackley railway station in Oxfordshire, England.
  • D. TAC
    TAC is the IATA airport code for Daniel Z. Romualdez Airport serving Tacloban City in the Philippines.
  • E. TAC
    TAC is the commonly used abbreviation for The Athletic Congress, the former governing body for track and field in the United States.
  • 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181337ff881909d90cf3f5bae7516 completed April 29, 2026, 3:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bc24cd43c81908111b62945f91dda completed May 19, 2026, 1:52 a.m.
NEDg Description generation batch_6a0bc407cd448190bd843360d65fdf22 completed May 19, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_6a0bc46fd3d0819094a532a8d6a0b9b2 completed May 19, 2026, 2:01 a.m.
Created at: April 17, 2026, 3:44 p.m.