Triple

T11844495
Position Surface form Disambiguated ID Type / Status
Subject Lodewijk E281737 entity
Predicate shortForm P43 FINISHED
Object Lo
Lo is a short form of the Dutch given name Lodewijk, commonly used as an informal or affectionate nickname.
 E949262 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: Lo | Statement: [Lodewijk, shortForm, Lo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lo
Context triple: [Lodewijk, shortForm, Lo]
  • A. Lo
    Lo is a dialect of the Lo-Toga language spoken on the Torres Islands in northern Vanuatu.
  • B. Lo
    Lo is a nickname for Lolita, most famously associated with the provocative young heroine of Vladimir Nabokov’s novel "Lolita."
  • C. LO
    LO is Norway’s largest and most influential trade union confederation, representing a broad spectrum of workers across multiple sectors.
  • D. LO
    LO was the New York Stock Exchange ticker symbol for Lorillard Tobacco Company, a major American tobacco manufacturer best known for brands like Newport.
  • E. LO
    LO is the regional vehicle registration code assigned to the city of Vanadzor in Armenia.
  • 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: Lo
Triple: [Lodewijk, shortForm, Lo]
Generated description
Lo is a short form of the Dutch given name Lodewijk, commonly used as an informal or affectionate nickname.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lo
Target entity description: Lo is a short form of the Dutch given name Lodewijk, commonly used as an informal or affectionate nickname.
  • A. Lo
    Lo is a dialect of the Lo-Toga language spoken on the Torres Islands in northern Vanuatu.
  • B. Lo
    Lo is a nickname for Lolita, most famously associated with the provocative young heroine of Vladimir Nabokov’s novel "Lolita."
  • C. LO
    LO is the regional vehicle registration code assigned to the city of Vanadzor in Armenia.
  • D. LO
    LO is the IATA airline designator used for LOT Polish Airlines, the flag carrier of Poland.
  • E. LO
    LO was the New York Stock Exchange ticker symbol for Lorillard Tobacco Company, a major American tobacco manufacturer best known for brands like Newport.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a65b5ff08190bb58361f6a6acdca completed April 10, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1679729c08190a9f6750586f90d8d completed April 29, 2026, 2:06 a.m.
NEDg Description generation batch_69f17005c318819090e54bc64d135477 completed April 29, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_69f17814de1881908973af026af5d1d1 completed April 29, 2026, 3:16 a.m.
Created at: April 8, 2026, 9:43 p.m.