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.