Triple

T10568580
Position Surface form Disambiguated ID Type / Status
Subject University of Tours E249416 entity
Predicate abbreviation P43 FINISHED
Object UT
UT is the common abbreviation for the University of Tours, a French public university located in the city of Tours.
 E871884 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: UT | Statement: [University of Tours, abbreviation, UT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UT
Context triple: [University of Tours, abbreviation, UT]
  • A. UT
    UT is the IATA airline designator assigned to UTair Aviation, a Russian airline.
  • B. UT
    UT is the common abbreviation for the University of Tunis, a major public university in Tunisia’s capital city.
  • C. UT
    UT is the official two-letter United States Postal Service abbreviation for the state of Utah.
  • D. UT
    UT is the commonly used abbreviation for the University of Tehran, Iran’s oldest and most prestigious modern university.
  • E. UT
    UT is a major public research university in Austin, Texas, known for its strong academic programs, large student body, and prominent Longhorns athletics.
  • 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: UT
Triple: [University of Tours, abbreviation, UT]
Generated description
UT is the common abbreviation for the University of Tours, a French public university located in the city of Tours.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UT
Target entity description: UT is the common abbreviation for the University of Tours, a French public university located in the city of Tours.
  • A. UT
    UT is the common abbreviation for the University of Tunis, a major public university in Tunisia’s capital city.
  • B. UT
    UT is the standard abbreviation for the University of Tirana, a major public university located in Albania’s capital city.
  • C. UT
    UT is the commonly used abbreviation for the University of Tehran, Iran’s oldest and most prestigious modern university.
  • D. UT
    UT is a major public research university in Austin, Texas, known for its strong academic programs, large student body, and prominent Longhorns athletics.
  • E. UT
    UT is the official two-letter United States Postal Service abbreviation for the state of Utah.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5272ff53c8190ae7c399d49b585f5 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b4c26ec8190910efdf4a236d654 completed April 10, 2026, 7:11 p.m.
NEDg Description generation batch_69d94e2f16788190bec54b250dad09a9 completed April 10, 2026, 7:23 p.m.
NED2 Entity disambiguation (via description) batch_69d9518517608190b5036694b83f5f58 completed April 10, 2026, 7:37 p.m.
Created at: April 6, 2026, 12:37 p.m.