Triple
T10704526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Porte City, Iowa |
E252365
|
entity |
| Predicate | hasHighSchool |
P113
|
FINISHED |
| Object |
Union High School
Union High School is a public secondary school serving students in and around La Porte City, Iowa.
|
E890745
|
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: Union High School | Statement: [La Porte City, Iowa, hasHighSchool, Union High School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Union High School Context triple: [La Porte City, Iowa, hasHighSchool, Union 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 an American secondary school best known as the alma mater of actor Ray Liotta.
-
C.
Grant High School
Grant High School is a secondary school that serves students from the Grant Park area.
-
D.
Roy High School
Roy High School is a public secondary school serving students in the city of Roy in northern Utah.
-
E.
Hall High School
Hall High School is a public secondary school serving students in the West Hartford, Connecticut area.
- 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: Union High School Triple: [La Porte City, Iowa, hasHighSchool, Union High School]
Generated description
Union High School is a public secondary school serving students in and around La Porte City, Iowa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Union High School Target entity description: Union High School is a public secondary school serving students in and around La Porte City, Iowa.
-
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.
Grant High School
Grant High School is a secondary school that serves students from the Grant Park area.
-
D.
Roy High School
Roy High School is a public secondary school serving students in the city of Roy in northern Utah.
-
E.
Hall High School
Hall High School is a public secondary school serving students in the West Hartford, Connecticut area.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fdddf258819097b9fd26d68cd2e4 |
completed | April 9, 2026, 1:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff777c63c8190a989d33e8460bc2f |
completed | April 15, 2026, 8:39 p.m. |
| NEDg | Description generation | batch_69e0026e7900819087327db5f625169c |
completed | April 15, 2026, 9:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e0057a7704819096becb74dc261883 |
completed | April 15, 2026, 9:39 p.m. |
Created at: April 8, 2026, 9:12 p.m.