Triple

T22987945
Position Surface form Disambiguated ID Type / Status
Subject Texas Department of Insurance E571964 entity
Predicate abbreviation P43 FINISHED
Object TDI
TDI is the state agency that regulates the insurance industry and oversees consumer protection for insurance matters in Texas.
 E1565362 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: TDI | Statement: [Texas Department of Insurance, abbreviation, TDI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TDI
Context triple: [Texas Department of Insurance, abbreviation, TDI]
  • A. TDI
    TDI (Test Data In) is the serial input pin used in JTAG boundary-scan to feed test instructions and data into a device’s test access port.
  • B. TDI
    TDI is a tactical knife brand associated with Ka-Bar, known for compact, self-defense–oriented fixed-blade designs often used by law enforcement and military personnel.
  • C. TD
    TD is the two-letter ISO 3166-1 alpha-2 country code assigned to Chad.
  • D. TD
    TD is the stock ticker symbol for The Toronto-Dominion Bank, one of Canada’s largest multinational banking and financial services institutions.
  • E. TD
    TD is the post-nominal abbreviation used in Ireland to denote a Teachta Dála, a member of the lower house of the Irish parliament (Dáil Éireann).
  • 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: TDI
Triple: [Texas Department of Insurance, abbreviation, TDI]
Generated description
TDI is the state agency that regulates the insurance industry and oversees consumer protection for insurance matters in Texas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TDI
Target entity description: TDI is the state agency that regulates the insurance industry and oversees consumer protection for insurance matters in Texas.
  • A. TDI
    TDI (Test Data In) is the serial input pin used in JTAG boundary-scan to feed test instructions and data into a device’s test access port.
  • B. TDI
    TDI is a tactical knife brand associated with Ka-Bar, known for compact, self-defense–oriented fixed-blade designs often used by law enforcement and military personnel.
  • C. TD
    TD is the two-letter ISO 3166-1 alpha-2 country code assigned to Chad.
  • D. TD
    TD is the post-nominal abbreviation used in Ireland to denote a Teachta Dála, a member of the lower house of the Irish parliament (Dáil Éireann).
  • E. TD
    TD is the stock ticker symbol for The Toronto-Dominion Bank, one of Canada’s largest multinational banking and financial services institutions.
  • 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_69e245b535808190adef8a9df3c584db completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1829b4ea88190bc1a01183df7a1bb completed April 29, 2026, 4:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bd376fff08190b35d33b0db8f2e8a completed May 19, 2026, 3:05 a.m.
NEDg Description generation batch_6a0bd7f95c208190ae836554fbb958a2 completed May 19, 2026, 3:24 a.m.
NED2 Entity disambiguation (via description) batch_6a0bd8a2c470819081fbbc871391215e completed May 19, 2026, 3:27 a.m.
Created at: April 17, 2026, 3:49 p.m.