Triple

T3307429
Position Surface form Disambiguated ID Type / Status
Subject Territorial Army E69483 entity
Predicate hasAlternativeName P39 FINISHED
Object TA
TA is a common abbreviation for the Territorial Army, a volunteer reserve force that supports a country's regular armed forces.
E347279 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: TA | Statement: [Territorial Army, hasAlternativeName, TA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TA
Context triple: [Territorial Army, hasAlternativeName, TA]
  • A. TRA
    TRA is the UK government body responsible for regulating the teaching profession, including overseeing teacher misconduct and maintaining professional standards.
  • B. TU
    TU is the common English abbreviation for Tohoku University, a leading national research university in Sendai, Japan.
  • C. TU
    TU is the international vehicle registration code assigned to Tunisia.
  • D. TD
    TD is the two-letter ISO 3166-1 alpha-2 country code assigned to Chad.
  • 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
  • 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: TA
Triple: [Territorial Army, hasAlternativeName, TA]
Generated description
TA is a common abbreviation for the Territorial Army, a volunteer reserve force that supports a country's regular armed forces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TA
Target entity description: TA is a common abbreviation for the Territorial Army, a volunteer reserve force that supports a country's regular armed forces.
  • A. TRA
    TRA is the UK government body responsible for regulating the teaching profession, including overseeing teacher misconduct and maintaining professional standards.
  • B. TU
    TU is the international vehicle registration code assigned to Tunisia.
  • C. TU
    TU is the common English abbreviation for Tohoku University, a leading national research university in Sendai, Japan.
  • D. TD
    TD is the two-letter ISO 3166-1 alpha-2 country code assigned to Chad.
  • 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_69ad859f218081909458d2cebbf57565 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0cc15088190b51c311c6590df04 completed March 8, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3ea2ac88190ad2258f128a08f4f completed March 12, 2026, 5:12 p.m.
NEDg Description generation batch_69b2fa0ed27c8190a32c153b44b7b2dd completed March 12, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_69b312b6e224819080957998acbed524 completed March 12, 2026, 7:23 p.m.
Created at: March 8, 2026, 3:11 p.m.