Triple
T21291365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wayland, Massachusetts |
E524797
|
entity |
| Predicate | hasHighSchool |
P113
|
FINISHED |
| Object |
Wayland High School
Wayland High School is a public secondary school serving the community of Wayland, Massachusetts, known for its strong academics and student programs.
|
E1476586
|
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: Wayland High School | Statement: [Wayland, Massachusetts, hasHighSchool, Wayland High School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wayland High School Context triple: [Wayland, Massachusetts, hasHighSchool, Wayland High School]
-
A.
Walnut High School
Walnut High School is a public secondary school in the city of Walnut, California, known for its strong academic programs and diverse student body.
-
B.
Westbrook High School
Westbrook High School is a public secondary school serving students in the city of Westbrook, Maine.
-
C.
Union High School
Union High School is an American secondary school best known as the alma mater of actor and comedian Robert Wuhl.
-
D.
Union High School
Union High School is an American secondary school best known as the alma mater of actor Ray Liotta.
-
E.
Union High School
Union High School is a public secondary school serving students in and around La Porte City, Iowa.
- 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: Wayland High School Triple: [Wayland, Massachusetts, hasHighSchool, Wayland High School]
Generated description
Wayland High School is a public secondary school serving the community of Wayland, Massachusetts, known for its strong academics and student programs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wayland High School Target entity description: Wayland High School is a public secondary school serving the community of Wayland, Massachusetts, known for its strong academics and student programs.
-
A.
Walnut High School
Walnut High School is a public secondary school in the city of Walnut, California, known for its strong academic programs and diverse student body.
-
B.
Westbrook High School
Westbrook High School is a public secondary school serving students in the city of Westbrook, Maine.
-
C.
Union High School
Union High School is an American secondary school best known as the alma mater of actor and comedian Robert Wuhl.
-
D.
Union High School
Union High School is an American secondary school best known as the alma mater of actor Ray Liotta.
-
E.
Union High School
Union High School is a public secondary school serving students in and around La Porte City, Iowa.
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736da28648190ae3f63c6ba1f6d6f |
completed | April 21, 2026, 8:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09980e17f0819087ae4fd3712fb584 |
completed | May 17, 2026, 10:27 a.m. |
| NEDg | Description generation | batch_6a0998d6b37881908a1b09afc1f67746 |
completed | May 17, 2026, 10:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0999884e0481909b7ea54cd7ef87b5 |
completed | May 17, 2026, 10:33 a.m. |
Created at: April 16, 2026, 4:04 p.m.