Triple

T17481116
Position Surface form Disambiguated ID Type / Status
Subject Operation Julin E425660 entity
Predicate test P106024 FINISHED
Object Julin Bexar
Julin Bexar was a specific underground nuclear test conducted by the United States as part of Operation Julin at the Nevada Test Site in the early 1990s.
E1270397 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: Julin Bexar | Statement: [Operation Julin, test, Julin Bexar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julin Bexar
Context triple: [Operation Julin, test, Julin Bexar]
  • A. De la Garza
    De la Garza is the fictional Mexican family surname central to Laura Esquivel’s novel "Like Water for Chocolate," associated with the domineering matriarch Mama Elena and her daughters.
  • B. Del Rio
    Del Rio is a border city in southwestern Texas known for its proximity to the Rio Grande and Laughlin Air Force Base.
  • C. Bexar County
    Bexar County is a county in south-central Texas that includes the city of San Antonio and serves as a major cultural, historical, and economic hub of the region.
  • D. Álamos
    Álamos is a residential neighborhood in Mexico City’s Benito Juárez borough, known for its central location and urban character.
  • E. Álamos
    Álamos is a historic colonial town in the Mexican state of Sonora, renowned for its well-preserved architecture and cultural heritage.
  • 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: Julin Bexar
Triple: [Operation Julin, test, Julin Bexar]
Generated description
Julin Bexar was a specific underground nuclear test conducted by the United States as part of Operation Julin at the Nevada Test Site in the early 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Julin Bexar
Target entity description: Julin Bexar was a specific underground nuclear test conducted by the United States as part of Operation Julin at the Nevada Test Site in the early 1990s.
  • A. De la Garza
    De la Garza is the fictional Mexican family surname central to Laura Esquivel’s novel "Like Water for Chocolate," associated with the domineering matriarch Mama Elena and her daughters.
  • B. Del Rio
    Del Rio is a border city in southwestern Texas known for its proximity to the Rio Grande and Laughlin Air Force Base.
  • C. Bexar County
    Bexar County is a county in south-central Texas that includes the city of San Antonio and serves as a major cultural, historical, and economic hub of the region.
  • D. Álamos
    Álamos is a residential neighborhood in Mexico City’s Benito Juárez borough, known for its central location and urban character.
  • E. Álamos
    Álamos is a historic colonial town in the Mexican state of Sonora, renowned for its well-preserved architecture and cultural heritage.
  • 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451bfd75481908c20bc2c1cbff593 completed April 19, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01b8320f488190a4eacfb628bb1dfd completed May 11, 2026, 11:06 a.m.
NEDg Description generation batch_6a01b8dd58f8819090d5138897c5155f completed May 11, 2026, 11:09 a.m.
NED2 Entity disambiguation (via description) batch_6a01b9676d54819098315611857dd6ea completed May 11, 2026, 11:11 a.m.
Created at: April 10, 2026, 5:48 a.m.