Triple

T1850586
Position Surface form Disambiguated ID Type / Status
Subject Central Texas E41385 entity
Predicate hasMajorCity P316 FINISHED
Object Bryan
Bryan is a mid-sized city in Central Texas known for its close association with neighboring College Station and Texas A&M University.
 E206384 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: Bryan | Statement: [Central Texas, hasMajorCity, Bryan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bryan
Context triple: [Central Texas, hasMajorCity, Bryan]
  • A. Bryan
    Bryan is a masculine given name of Celtic origin that is widely used in English-speaking countries.
  • B. Brett
    Brett is the given name of Brett M. Kavanaugh, an Associate Justice of the United States Supreme Court.
  • C. Tyler Bight
    Tyler Bight is a coastal inlet or bay located along the shores of San Miguel Island in California’s Channel Islands.
  • D. Brandon
    Brandon is a masculine given name of Old English origin meaning "hill covered with broom" or "beacon hill."
  • E. Brandon
    Brandon is a town in Suffolk, England, known for its location on the Breckland railway line and its surrounding Breckland heathland and forestry.
  • 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: Bryan
Triple: [Central Texas, hasMajorCity, Bryan]
Generated description
Bryan is a mid-sized city in Central Texas known for its close association with neighboring College Station and Texas A&M University.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bryan
Target entity description: Bryan is a mid-sized city in Central Texas known for its close association with neighboring College Station and Texas A&M University.
  • A. Bryan
    Bryan is a masculine given name of Celtic origin that is widely used in English-speaking countries.
  • B. Brett
    Brett is the given name of Brett M. Kavanaugh, an Associate Justice of the United States Supreme Court.
  • C. Tyler Bight
    Tyler Bight is a coastal inlet or bay located along the shores of San Miguel Island in California’s Channel Islands.
  • D. Brandon
    Brandon is a masculine given name of Old English origin meaning "hill covered with broom" or "beacon hill."
  • E. Brandon
    Brandon is a town in Suffolk, England, known for its location on the Breckland railway line and its surrounding Breckland heathland and forestry.
  • 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_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb066bd6881909c8d6a6b63cb0ee5 completed March 7, 2026, 4:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9c5852081909e178b7e55c11bc7 completed March 8, 2026, 7:11 p.m.
NEDg Description generation batch_69adcaf23e748190a031625208f4cf17 completed March 8, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69adcbf835b48190aaeb61f34f6aafdc completed March 8, 2026, 7:20 p.m.
Created at: March 4, 2026, 7:33 p.m.