Triple

T8588668
Position Surface form Disambiguated ID Type / Status
Subject Logistics Base of the Armed Forces E203372 entity
Predicate abbreviation P43 FINISHED
Object LBA
LBA is the acronym for the Logistics Base of the Armed Forces, the central organization responsible for providing and coordinating logistical support to a nation's military.
 E745118 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: LBA | Statement: [Logistics Base of the Armed Forces, abbreviation, LBA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LBA
Context triple: [Logistics Base of the Armed Forces, abbreviation, LBA]
  • A. LBA
    LBA is the IATA airport code for Leeds Bradford Airport, a regional international airport serving the cities of Leeds and Bradford in West Yorkshire, England.
  • B. LAP
    LAP is the ICAO airline designator used to identify LATAM Airlines Paraguay in international aviation operations.
  • C. LB
    LB is the two-letter ISO 3166-1 alpha-2 country code representing Lebanon.
  • D. LB
    LB is the former New York Stock Exchange ticker symbol for L Brands, the American retail company that owned brands such as Victoria’s Secret and Bath & Body Works.
  • E. LB
    LB is the vehicle registration code for the Ludwigsburg district in the Stuttgart administrative region of Baden-Württemberg, Germany.
  • 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: LBA
Triple: [Logistics Base of the Armed Forces, abbreviation, LBA]
Generated description
LBA is the acronym for the Logistics Base of the Armed Forces, the central organization responsible for providing and coordinating logistical support to a nation's military.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LBA
Target entity description: LBA is the acronym for the Logistics Base of the Armed Forces, the central organization responsible for providing and coordinating logistical support to a nation's military.
  • A. LBA
    LBA is the IATA airport code for Leeds Bradford Airport, a regional international airport serving the cities of Leeds and Bradford in West Yorkshire, England.
  • B. LAP
    LAP is the ICAO airline designator used to identify LATAM Airlines Paraguay in international aviation operations.
  • C. LB
    LB is the two-letter ISO 3166-1 alpha-2 country code representing Lebanon.
  • D. LB
    LB is the vehicle registration code for the Ludwigsburg district in the Stuttgart administrative region of Baden-Württemberg, Germany.
  • E. LB
    LB is the former New York Stock Exchange ticker symbol for L Brands, the American retail company that owned brands such as Victoria’s Secret and Bath & Body Works.
  • 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_69ca8329bb7c8190a63c643730839103 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc466300bc8190aa5659a4e6a9694a completed March 31, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8acebac81909d2fce98c6901f0c completed April 2, 2026, 5:34 p.m.
NEDg Description generation batch_69cea9cff1ec8190a0093fb42782341e completed April 2, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_69ceaa9f7f8c8190965e86880ff141d5 completed April 2, 2026, 5:42 p.m.
Created at: March 30, 2026, 6:23 p.m.