Triple

T7528158
Position Surface form Disambiguated ID Type / Status
Subject East Texas Normal College E177948 entity
Predicate alsoKnownAs P39 FINISHED
Object ETNC
ETNC is the abbreviation for East Texas Normal College, a former teacher-training institution that evolved into what is now Texas A&M University–Commerce.
 E669742 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: ETNC | Statement: [East Texas Normal College, alsoKnownAs, ETNC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ETNC
Context triple: [East Texas Normal College, alsoKnownAs, ETNC]
  • A. EETN
    EETN is the ICAO airport code for Lennart Meri Tallinn Airport, the main international airport serving Tallinn, Estonia.
  • B. TNOC
    TNOC is the acronym for the National Olympic Committee of Turkey, the body responsible for organizing the country’s participation in the Olympic Games and promoting Olympic sports nationally.
  • C. ETB
    ETB is the three-letter international currency code used to represent the Ethiopian birr in global financial and foreign exchange contexts.
  • D. NTZ
    NTZ is the commonly used abbreviation for the Lamlash Bay no-take marine conservation zone off the Isle of Arran in Scotland.
  • E. ETAC
    ETAC is the Engineering Technology Accreditation Commission of ABET, responsible for accrediting engineering technology degree programs worldwide.
  • 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: ETNC
Triple: [East Texas Normal College, alsoKnownAs, ETNC]
Generated description
ETNC is the abbreviation for East Texas Normal College, a former teacher-training institution that evolved into what is now Texas A&M University–Commerce.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ETNC
Target entity description: ETNC is the abbreviation for East Texas Normal College, a former teacher-training institution that evolved into what is now Texas A&M University–Commerce.
  • A. EETN
    EETN is the ICAO airport code for Lennart Meri Tallinn Airport, the main international airport serving Tallinn, Estonia.
  • B. TNOC
    TNOC is the acronym for the National Olympic Committee of Turkey, the body responsible for organizing the country’s participation in the Olympic Games and promoting Olympic sports nationally.
  • C. ETB
    ETB is the three-letter international currency code used to represent the Ethiopian birr in global financial and foreign exchange contexts.
  • D. NTZ
    NTZ is the commonly used abbreviation for the Lamlash Bay no-take marine conservation zone off the Isle of Arran in Scotland.
  • E. ETAC
    ETAC is the Engineering Technology Accreditation Commission of ABET, responsible for accrediting engineering technology degree programs worldwide.
  • 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_69c69f29bf3081909a146aec7755f185 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f81e19208190965f211d057f7fdf completed March 27, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84639c19881909e1736afc01a020d completed March 28, 2026, 9:20 p.m.
NEDg Description generation batch_69c846d0b1348190bc2bf23e75c535a9 completed March 28, 2026, 9:23 p.m.
NED2 Entity disambiguation (via description) batch_69c84748b8988190b4f85c253ea9e403 completed March 28, 2026, 9:25 p.m.
Created at: March 27, 2026, 3:47 p.m.