Triple

T2784800
Position Surface form Disambiguated ID Type / Status
Subject Unilever E61784 entity
Predicate tickerSymbol P1447 FINISHED
Object ULVR
ULVR is the London Stock Exchange ticker symbol for Unilever, a major multinational consumer goods company known for its food, personal care, and household products.
E297546 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: ULVR | Statement: [Unilever, tickerSymbol, ULVR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ULVR
Context triple: [Unilever, tickerSymbol, ULVR]
  • A. UL
    UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
  • B. UL
    UL is the two-letter IATA airline designator assigned to SriLankan Airlines, the flag carrier of Sri Lanka.
  • C. LU
    LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg for international identification and data standards.
  • D. UNCHR
    UNCHR is the commonly used acronym for the United Nations Commission on Human Rights, a former UN body responsible for promoting and protecting human rights worldwide.
  • E. the U
    The U is a common nickname for the University of Utah, a major public research university located in Salt Lake City.
  • 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: ULVR
Triple: [Unilever, tickerSymbol, ULVR]
Generated description
ULVR is the London Stock Exchange ticker symbol for Unilever, a major multinational consumer goods company known for its food, personal care, and household products.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ULVR
Target entity description: ULVR is the London Stock Exchange ticker symbol for Unilever, a major multinational consumer goods company known for its food, personal care, and household products.
  • A. UL
    UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
  • B. UL
    UL is the two-letter IATA airline designator assigned to SriLankan Airlines, the flag carrier of Sri Lanka.
  • C. LU
    LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg for international identification and data standards.
  • D. UNCHR
    UNCHR is the commonly used acronym for the United Nations Commission on Human Rights, a former UN body responsible for promoting and protecting human rights worldwide.
  • E. the U
    The U is a common nickname for the University of Utah, a major public research university located in Salt Lake City.
  • 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_69ab4b7e43c48190997b8fc8fb1663ab completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd9e11e48190af48f605062ea387 completed March 7, 2026, 8:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc0629e8c81909b55d9838e681ba2 completed March 10, 2026, 6:55 a.m.
NEDg Description generation batch_69afc15513f48190a22f83571be2e0bd completed March 10, 2026, 6:59 a.m.
NED2 Entity disambiguation (via description) batch_69afc1c9440c8190abf9dc063109af45 completed March 10, 2026, 7:01 a.m.
Created at: March 6, 2026, 9:57 p.m.