Triple
T13335704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eureka, Missouri |
E317685
|
entity |
| Predicate | hasHighSchool |
P113
|
FINISHED |
| Object |
Eureka High School
Eureka High School is a public secondary school serving students in the Eureka, Missouri area as part of the local Rockwood School District.
|
E1038220
|
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: Eureka High School | Statement: [Eureka, Missouri, hasHighSchool, Eureka High School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eureka High School Context triple: [Eureka, Missouri, hasHighSchool, Eureka High School]
-
A.
Union High School
Union High School is an American secondary school best known as the alma mater of actor and comedian Robert Wuhl.
-
B.
Union High School
Union High School is a public secondary school serving students in and around La Porte City, Iowa.
-
C.
Union High School
Union High School is an American secondary school best known as the alma mater of actor Ray Liotta.
-
D.
Kaiapoi High School
Kaiapoi High School is a co-educational secondary school serving the town of Kaiapoi and surrounding areas in the Canterbury region of New Zealand.
-
E.
Roy High School
Roy High School is a public secondary school serving students in the city of Roy in northern Utah.
- 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: Eureka High School Triple: [Eureka, Missouri, hasHighSchool, Eureka High School]
Generated description
Eureka High School is a public secondary school serving students in the Eureka, Missouri area as part of the local Rockwood School District.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eureka High School Target entity description: Eureka High School is a public secondary school serving students in the Eureka, Missouri area as part of the local Rockwood School District.
-
A.
Union High School
Union High School is an American secondary school best known as the alma mater of actor and comedian Robert Wuhl.
-
B.
Union High School
Union High School is an American secondary school best known as the alma mater of actor Ray Liotta.
-
C.
Union High School
Union High School is a public secondary school serving students in and around La Porte City, Iowa.
-
D.
Kaiapoi High School
Kaiapoi High School is a co-educational secondary school serving the town of Kaiapoi and surrounding areas in the Canterbury region of New Zealand.
-
E.
Roy High School
Roy High School is a public secondary school serving students in the city of Roy in northern Utah.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99d00b75c8190af98784c7df904c8 |
completed | April 11, 2026, 12:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f730641f588190886119506e6dde8f |
completed | May 3, 2026, 11:24 a.m. |
| NEDg | Description generation | batch_69f7311f14988190989e319741ef0ccf |
completed | May 3, 2026, 11:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f731e24d508190a896875210be3189 |
completed | May 3, 2026, 11:30 a.m. |
Created at: April 9, 2026, 9:30 p.m.