Triple

T8108865
Position Surface form Disambiguated ID Type / Status
Subject Walmart Inc. E189293 entity
Predicate tickerSymbol P1447 FINISHED
Object WMT
WMT is the stock ticker symbol for Walmart Inc., the multinational retail corporation that operates a chain of hypermarkets, discount department stores, and grocery stores.
 E712659 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: WMT | Statement: [Walmart Inc., tickerSymbol, WMT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WMT
Context triple: [Walmart Inc., tickerSymbol, WMT]
  • A. WMC
    WMC is the commonly used abbreviation for the World Methodist Council, a worldwide association of Methodist churches and related denominations.
  • B. WMC
    WMC is the IATA airport code for Winnemucca Municipal Airport, a public airport serving the Winnemucca area in Nevada, United States.
  • C. WMC
    WMC is the World Muaythai Council, the leading international governing body responsible for regulating and promoting professional Muay Thai worldwide.
  • D. WTM
    WTM is the vehicle registration code used on license plates for vehicles registered in the Wittmund district of Lower Saxony, Germany.
  • E. WTW
    WTW is the abbreviation for "Walking Together on the Way," an ecumenical document focused on fostering unity and dialogue among Christian traditions.
  • 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: WMT
Triple: [Walmart Inc., tickerSymbol, WMT]
Generated description
WMT is the stock ticker symbol for Walmart Inc., the multinational retail corporation that operates a chain of hypermarkets, discount department stores, and grocery stores.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WMT
Target entity description: WMT is the stock ticker symbol for Walmart Inc., the multinational retail corporation that operates a chain of hypermarkets, discount department stores, and grocery stores.
  • A. WMC
    WMC is the commonly used abbreviation for the World Methodist Council, a worldwide association of Methodist churches and related denominations.
  • B. WMC
    WMC is the IATA airport code for Winnemucca Municipal Airport, a public airport serving the Winnemucca area in Nevada, United States.
  • C. WMC
    WMC is the World Muaythai Council, the leading international governing body responsible for regulating and promoting professional Muay Thai worldwide.
  • D. WTM
    WTM is the vehicle registration code used on license plates for vehicles registered in the Wittmund district of Lower Saxony, Germany.
  • E. WTW
    WTW is the abbreviation for "Walking Together on the Way," an ecumenical document focused on fostering unity and dialogue among Christian traditions.
  • 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42fbc57c81908c6be87bbc547085 completed March 31, 2026, 3:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc9421794081909170ea11b09ae357 completed April 1, 2026, 3:42 a.m.
NEDg Description generation batch_69cc95bfb2b08190ae4bbf8fdde3165d completed April 1, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_69cc9771b6e48190bd5f45c3f8853890 completed April 1, 2026, 3:56 a.m.
Created at: March 30, 2026, 5:32 p.m.