Triple

T5089810
Position Surface form Disambiguated ID Type / Status
Subject Textus Receptus E114724 entity
Predicate hasAbbreviation P43 FINISHED
Object TR
TR is the common abbreviation for the Textus Receptus, a historically influential printed Greek New Testament text that underlies many early Protestant Bible translations.
 E492184 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: TR | Statement: [Textus Receptus, hasAbbreviation, TR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TR
Context triple: [Textus Receptus, hasAbbreviation, TR]
  • A. TR
    TR is the two-letter ISO 3166-1 alpha-2 country code assigned to Turkey for international standardization and referencing.
  • B. tr
    tr is a GNU Core Utilities command-line program used to translate, squeeze, or delete characters from standard input and write the result to standard output.
  • C. TRA
    TRA is the UK government body responsible for regulating the teaching profession, including overseeing teacher misconduct and maintaining professional standards.
  • D. TRA
    TRA is the ICAO airline designator assigned to Transavia, a Dutch low-cost carrier operating scheduled and charter flights across Europe and surrounding regions.
  • E. Ter
    The Ter is a river in northeastern Catalonia, Spain, that flows through cities such as Girona before emptying into the Mediterranean Sea.
  • 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: TR
Triple: [Textus Receptus, hasAbbreviation, TR]
Generated description
TR is the common abbreviation for the Textus Receptus, a historically influential printed Greek New Testament text that underlies many early Protestant Bible translations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TR
Target entity description: TR is the common abbreviation for the Textus Receptus, a historically influential printed Greek New Testament text that underlies many early Protestant Bible translations.
  • A. TR
    TR is the two-letter ISO 3166-1 alpha-2 country code assigned to Turkey for international standardization and referencing.
  • B. tr
    tr is a GNU Core Utilities command-line program used to translate, squeeze, or delete characters from standard input and write the result to standard output.
  • C. TRA
    TRA is the UK government body responsible for regulating the teaching profession, including overseeing teacher misconduct and maintaining professional standards.
  • D. TRA
    TRA is the ICAO airline designator assigned to Transavia, a Dutch low-cost carrier operating scheduled and charter flights across Europe and surrounding regions.
  • E. Ter
    The Ter is a river in northeastern Catalonia, Spain, that flows through cities such as Girona before emptying into the Mediterranean Sea.
  • 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_69bd443e941881908eb4e8c685b6f656 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75407e6881908d00377a256ff37e completed March 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb1489ffc8190af95b90debb88d63 completed March 21, 2026, 2:55 p.m.
NEDg Description generation batch_69beb2c6e3188190bfcf5aba03bf1233 completed March 21, 2026, 3:01 p.m.
NED2 Entity disambiguation (via description) batch_69beb312aef48190a5cfd9d29dcd4583 completed March 21, 2026, 3:02 p.m.
Created at: March 20, 2026, 1:40 p.m.