Triple

T20639123
Position Surface form Disambiguated ID Type / Status
Subject Wawa Inc. E507171 entity
Predicate brandName P1500 FINISHED
Object Wawa
Wawa is a popular American chain of convenience stores and gas stations known for its fresh food, coffee, and made-to-order hoagies.
E1442705 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: Wawa | Statement: [Wawa Inc., brandName, Wawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wawa
Context triple: [Wawa Inc., brandName, Wawa]
  • A. Wawa
    Wawa is a small town in northern Ontario, Canada, known for its iconic giant Canada goose statue and its history as a mining and forestry community.
  • B. Wawa
    Wawa was a king of the Medang Mataram Kingdom in Central Java, Indonesia, known from 10th-century inscriptions that place him among the later rulers of the early Javanese Hindu-Buddhist polity.
  • C. Waja
    Waja is a Chadic language spoken by the Waja people in northeastern Nigeria.
  • D. Waja
    Waja is a settlement located near the town of Alamata in northern Ethiopia.
  • E. Waase
    Waase is a small village on the island of Ummanz in the German state of Mecklenburg-Vorpommern.
  • 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: Wawa
Triple: [Wawa Inc., brandName, Wawa]
Generated description
Wawa is a popular American chain of convenience stores and gas stations known for its fresh food, coffee, and made-to-order hoagies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wawa
Target entity description: Wawa is a popular American chain of convenience stores and gas stations known for its fresh food, coffee, and made-to-order hoagies.
  • A. Wawa
    Wawa is a small town in northern Ontario, Canada, known for its iconic giant Canada goose statue and its history as a mining and forestry community.
  • B. Wawa
    Wawa was a king of the Medang Mataram Kingdom in Central Java, Indonesia, known from 10th-century inscriptions that place him among the later rulers of the early Javanese Hindu-Buddhist polity.
  • C. Waja
    Waja is a settlement located near the town of Alamata in northern Ethiopia.
  • D. Waja
    Waja is a Chadic language spoken by the Waja people in northeastern Nigeria.
  • E. Waase
    Waase is a small village on the island of Ummanz in the German state of Mecklenburg-Vorpommern.
  • 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_69e0b4be702c8190a3d2410a881d310a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6ad126b6481908d4e235bd73dda2e completed April 20, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08c588a18881909a6f7c0eac0d11f4 completed May 16, 2026, 7:29 p.m.
NEDg Description generation batch_6a08c675f4088190a499bec77b64b2af completed May 16, 2026, 7:33 p.m.
NED2 Entity disambiguation (via description) batch_6a08c6e60f308190a772c0133b9016e9 completed May 16, 2026, 7:35 p.m.
Created at: April 16, 2026, 11:42 a.m.