Triple

T1490808
Position Surface form Disambiguated ID Type / Status
Subject Lotus Development Corporation E29573 entity
Predicate tickerSymbol P1447 FINISHED
Object LOTS
LOTS is the stock ticker symbol for Lotus Development Corporation, a pioneering software company best known for its Lotus 1-2-3 spreadsheet application.
 E171251 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: LOTS | Statement: [Lotus Development Corporation, tickerSymbol, LOTS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LOTS
Context triple: [Lotus Development Corporation, tickerSymbol, LOTS]
  • A. Lot
    Lot is a department in southwestern France known for its picturesque river valleys, medieval villages, and prehistoric cave art.
  • B. Lot
    Lot is a river in southwestern France known for flowing through scenic valleys and historic towns before joining the Garonne.
  • C. LOTG
    LOTG is the standard abbreviation for the Laws of the Game, the official rulebook that governs how association football (soccer) is played worldwide.
  • D. Arenas
    Arenas is a Spanish-origin surname most notably associated with former NBA All-Star basketball player Gilbert Arenas.
  • E. .sl
    .sl is the country code top-level domain (ccTLD) assigned to Sierra Leone for use in internet addresses.
  • 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: LOTS
Triple: [Lotus Development Corporation, tickerSymbol, LOTS]
Generated description
LOTS is the stock ticker symbol for Lotus Development Corporation, a pioneering software company best known for its Lotus 1-2-3 spreadsheet application.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LOTS
Target entity description: LOTS is the stock ticker symbol for Lotus Development Corporation, a pioneering software company best known for its Lotus 1-2-3 spreadsheet application.
  • A. Lot
    Lot is a department in southwestern France known for its picturesque river valleys, medieval villages, and prehistoric cave art.
  • B. Lot
    Lot is a river in southwestern France known for flowing through scenic valleys and historic towns before joining the Garonne.
  • C. LOTG
    LOTG is the standard abbreviation for the Laws of the Game, the official rulebook that governs how association football (soccer) is played worldwide.
  • D. Arenas
    Arenas is a Spanish-origin surname most notably associated with former NBA All-Star basketball player Gilbert Arenas.
  • E. .sl
    .sl is the country code top-level domain (ccTLD) assigned to Sierra Leone for use in internet addresses.
  • 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_69a498da82e08190ba833330d05f380f completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6c233ec819087e1233af02aabfc completed March 1, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1ca98e64819097916eb7717e6364 completed March 8, 2026, 6:52 a.m.
NEDg Description generation batch_69ad1d34656481909949b4bfd83c6142 completed March 8, 2026, 6:54 a.m.
NED2 Entity disambiguation (via description) batch_69ad1dd7b34c8190b6957be2112506dd completed March 8, 2026, 6:57 a.m.
Created at: March 1, 2026, 8:12 p.m.