Triple

T508310
Position Surface form Disambiguated ID Type / Status
Subject Connecticut E10549 entity
Predicate postalAbbreviation P43 FINISHED
Object CT
CT is the official two-letter United States Postal Service abbreviation for the state of Connecticut.
 E63369 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: CT | Statement: [Connecticut, postalAbbreviation, CT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CT
Context triple: [Connecticut, postalAbbreviation, CT]
  • A. CT
    CT is a 3GPP core network and terminals working group responsible for specifying protocols and interfaces for mobile telecommunications systems.
  • B. TCAT
    TCAT is the public bus transit system serving Ithaca and the surrounding Tompkins County area in New York State.
  • C. CPT
    CPT is a standardized medical code set maintained by the American Medical Association for reporting medical, surgical, and diagnostic procedures and services.
  • D. TC
    TC is the common abbreviation for the Trilateral Commission, a non-governmental policy discussion group that brings together leaders from North America, Europe, and Asia to address global issues.
  • E. TC
    TC is the standard abbreviation for the IEEE Transactions on Computers, a leading peer-reviewed journal covering research in computer science and engineering.
  • 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: CT
Triple: [Connecticut, postalAbbreviation, CT]
Generated description
CT is the official two-letter United States Postal Service abbreviation for the state of Connecticut.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CT
Target entity description: CT is the official two-letter United States Postal Service abbreviation for the state of Connecticut.
  • A. CT
    CT is a 3GPP core network and terminals working group responsible for specifying protocols and interfaces for mobile telecommunications systems.
  • B. TCAT
    TCAT is the public bus transit system serving Ithaca and the surrounding Tompkins County area in New York State.
  • C. CPT
    CPT is a standardized medical code set maintained by the American Medical Association for reporting medical, surgical, and diagnostic procedures and services.
  • D. TC
    TC is the common abbreviation for the Trilateral Commission, a non-governmental policy discussion group that brings together leaders from North America, Europe, and Asia to address global issues.
  • E. TC
    TC is the standard abbreviation for the IEEE Transactions on Computers, a leading peer-reviewed journal covering research in computer science and engineering.
  • 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_69a2e848adf881908e5e04f7af030093 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f162f3888190b057ad04e40a30e2 completed Feb. 28, 2026, 1:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a498506418819090190a35e8763982 completed March 1, 2026, 7:49 p.m.
NEDg Description generation batch_69a499da231c8190abd973d9ac3969ff completed March 1, 2026, 7:56 p.m.
NED2 Entity disambiguation (via description) batch_69a49b0045b481908f5e863d61b7e17e completed March 1, 2026, 8:01 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.