Triple

T4404168
Position Surface form Disambiguated ID Type / Status
Subject L Brands E93686 entity
Predicate tickerSymbol P1447 FINISHED
Object 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.
E437847 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: LB | Statement: [L Brands, tickerSymbol, LB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LB
Context triple: [L Brands, tickerSymbol, LB]
  • A. LB
    LB is the two-letter ISO 3166-1 alpha-2 country code representing Lebanon.
  • B. BL
    BL is the postcode area in the United Kingdom that covers Bolton and surrounding parts of Greater Manchester and Lancashire.
  • C. BL
    BL is the two-letter ISO 3166-1 alpha-2 country code assigned to the Caribbean island territory of Saint Barthélemy.
  • D. BL
    BL is the vehicle registration code used on license plates for the Swiss canton of Basel-Landschaft.
  • E. LBN
    LBN is the three-letter ISO 3166-1 alpha-3 country code for Lebanon.
  • 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: LB
Triple: [L Brands, tickerSymbol, LB]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LB
Target entity description: 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.
  • A. LB
    LB is the two-letter ISO 3166-1 alpha-2 country code representing Lebanon.
  • B. BL
    BL is the postcode area in the United Kingdom that covers Bolton and surrounding parts of Greater Manchester and Lancashire.
  • C. BL
    BL is the two-letter ISO 3166-1 alpha-2 country code assigned to the Caribbean island territory of Saint Barthélemy.
  • D. BL
    BL is the vehicle registration code used on license plates for the Swiss canton of Basel-Landschaft.
  • E. LBN
    LBN is the three-letter ISO 3166-1 alpha-3 country code for Lebanon.
  • 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b352d1af608190ac06d50433cf24bb completed March 12, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f6016bd881908099c4a9ab972580 completed March 14, 2026, 11:57 p.m.
NEDg Description generation batch_69b5f689da008190ae5bd42af1f95bfa completed March 15, 2026, midnight
NED2 Entity disambiguation (via description) batch_69b5f72f5dac819081f98d835c467aca completed March 15, 2026, 12:02 a.m.
Created at: March 12, 2026, 11:28 p.m.