Triple

T64988
Position Surface form Disambiguated ID Type / Status
Subject Dallas County, Texas E1292 entity
Predicate contains P35 FINISHED
Object Wilmer
Wilmer is a small city located in the southern part of the Dallas–Fort Worth metropolitan area in Texas.
E9810 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: Wilmer | Statement: [Dallas County, Texas, contains, Wilmer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilmer
Context triple: [Dallas County, Texas, contains, Wilmer]
  • A. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • B. Andrés
    Andrés is a Spanish given name commonly used as the equivalent of Andrew.
  • C. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • D. Cactus Jack
    Cactus Jack was the colorful nickname of John Nance Garner, a powerful early 20th-century American politician who served as vice president under Franklin D. Roosevelt.
  • E. Willem
    Willem is a given name, primarily used in Dutch-speaking regions, that corresponds to the English name William.
  • 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: Wilmer
Triple: [Dallas County, Texas, contains, Wilmer]
Generated description
Wilmer is a small city located in the southern part of the Dallas–Fort Worth metropolitan area in Texas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wilmer
Target entity description: Wilmer is a small city located in the southern part of the Dallas–Fort Worth metropolitan area in Texas.
  • A. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • B. Andrés
    Andrés is a Spanish given name commonly used as the equivalent of Andrew.
  • C. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • D. Cactus Jack
    Cactus Jack was the colorful nickname of John Nance Garner, a powerful early 20th-century American politician who served as vice president under Franklin D. Roosevelt.
  • E. Willem
    Willem is a given name, primarily used in Dutch-speaking regions, that corresponds to the English name William.
  • 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_69a24ba4f760819081f6638a3c70538a completed Feb. 28, 2026, 1:57 a.m.
NER Named-entity recognition batch_69a24ee6ba348190b00977285d74d8f5 completed Feb. 28, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a26c19b6088190af308ead33ae784e completed Feb. 28, 2026, 4:16 a.m.
NEDg Description generation batch_69a26f0d3b088190a3b44743fefa35c1 completed Feb. 28, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_69a26f7305148190895ffb57fb0ccfeb completed Feb. 28, 2026, 4:30 a.m.
Created at: Feb. 28, 2026, 2:02 a.m.