Triple

T7169949
Position Surface form Disambiguated ID Type / Status
Subject Tennessee's 5th congressional district E167167 entity
Predicate hasAbbreviation P43 FINISHED
Object TN-5
TN-5 is the commonly used abbreviation for Tennessee's 5th congressional district, a U.S. House of Representatives district centered around Nashville.
 E646850 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: TN-5 | Statement: [Tennessee's 5th congressional district, hasAbbreviation, TN-5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TN-5
Context triple: [Tennessee's 5th congressional district, hasAbbreviation, TN-5]
  • A. TN-81
    TN-81 is a regional vehicle registration code assigned to a specific transport authority jurisdiction in the Tiruchirappalli area of Tamil Nadu, India.
  • B. TX-05
    TX-05 is the standard abbreviated designation for Texas's 5th congressional district in the United States House of Representatives.
  • C. T-850
    T-850 is a reprogrammed Terminator cyborg model portrayed by Arnold Schwarzenegger in "Terminator 3: Rise of the Machines," sent back in time to protect John Connor from more advanced machines.
  • D. TS 55-series
    TS 55-series is a group of 3GPP technical specifications that define aspects of GSM and related 2G radio and terminal technologies.
  • E. TKN
    TKN is the vehicle registration code assigned to vehicles registered in Końskie County in Poland.
  • 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: TN-5
Triple: [Tennessee's 5th congressional district, hasAbbreviation, TN-5]
Generated description
TN-5 is the commonly used abbreviation for Tennessee's 5th congressional district, a U.S. House of Representatives district centered around Nashville.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TN-5
Target entity description: TN-5 is the commonly used abbreviation for Tennessee's 5th congressional district, a U.S. House of Representatives district centered around Nashville.
  • A. TN-81
    TN-81 is a regional vehicle registration code assigned to a specific transport authority jurisdiction in the Tiruchirappalli area of Tamil Nadu, India.
  • B. TX-05
    TX-05 is the standard abbreviated designation for Texas's 5th congressional district in the United States House of Representatives.
  • C. T-850
    T-850 is a reprogrammed Terminator cyborg model portrayed by Arnold Schwarzenegger in "Terminator 3: Rise of the Machines," sent back in time to protect John Connor from more advanced machines.
  • D. TS 55-series
    TS 55-series is a group of 3GPP technical specifications that define aspects of GSM and related 2G radio and terminal technologies.
  • E. TKN
    TKN is the vehicle registration code assigned to vehicles registered in Końskie County in Poland.
  • 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_69c68888c10c819095e0383020225758 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e85d8f208190915f6f4c05988b63 completed March 27, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b910c2688190b28573c5d58542d5 completed March 28, 2026, 11:18 a.m.
NEDg Description generation batch_69c7b9d4d9e081908abc7841371c291b completed March 28, 2026, 11:21 a.m.
NED2 Entity disambiguation (via description) batch_69c7ba7c7ac88190b16ba217cdc12325 completed March 28, 2026, 11:24 a.m.
Created at: March 27, 2026, 2:48 p.m.