Triple

T16847831
Position Surface form Disambiguated ID Type / Status
Subject Thousand Oaks High School E409589 entity
Predicate abbreviation P43 FINISHED
Object TOHS
TOHS is a public high school located in Thousand Oaks, California, known for its strong academic programs and diverse extracurricular activities.
E1236170 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: TOHS | Statement: [Thousand Oaks High School, abbreviation, TOHS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TOHS
Context triple: [Thousand Oaks High School, abbreviation, TOHS]
  • A. La To
    La To is a Vietnamese deity venerated as a patron of medicine and physicians.
  • B. TOS
    TOS is the IATA airport code for Tromsø Airport, the main air gateway to the city of Tromsø in northern Norway.
  • C. TOS
    TOS is an abbreviation that most commonly refers to "Terms of Service," the rules and conditions governing the use of a service or platform.
  • D. TOG
    TOG is the commonly used abbreviation for The Open Group, an international consortium that develops open, vendor-neutral technology standards and certifications.
  • E. TOJ
    TOJ is the IATA airport code for Torrejón Air Base, a military airfield located near Madrid, Spain.
  • 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: TOHS
Triple: [Thousand Oaks High School, abbreviation, TOHS]
Generated description
TOHS is a public high school located in Thousand Oaks, California, known for its strong academic programs and diverse extracurricular activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TOHS
Target entity description: TOHS is a public high school located in Thousand Oaks, California, known for its strong academic programs and diverse extracurricular activities.
  • A. La To
    La To is a Vietnamese deity venerated as a patron of medicine and physicians.
  • B. TOS
    TOS is an abbreviation that most commonly refers to "Terms of Service," the rules and conditions governing the use of a service or platform.
  • C. TOS
    TOS is the IATA airport code for Tromsø Airport, the main air gateway to the city of Tromsø in northern Norway.
  • D. TOG
    TOG is the commonly used abbreviation for The Open Group, an international consortium that develops open, vendor-neutral technology standards and certifications.
  • E. TOJ
    TOJ is the IATA airport code for Torrejón Air Base, a military airfield located near Madrid, Spain.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b376bac48190ae09f29a28c55f8c completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb1d555c8190883c82e562b7bfe9 completed May 10, 2026, 5:06 p.m.
NEDg Description generation batch_6a00bbb628208190b0be62a333e7e442 completed May 10, 2026, 5:09 p.m.
NED2 Entity disambiguation (via description) batch_6a00bc3a4b888190bd190b9330e2777d completed May 10, 2026, 5:11 p.m.
Created at: April 10, 2026, 5:24 a.m.