Triple
T20287661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marysville, Michigan |
E509929
|
entity |
| Predicate | hasElementarySchool |
P113
|
FINISHED |
| Object |
Gardner Elementary School
Gardner Elementary School is a public primary school serving young students in the Marysville, Michigan community.
|
E1422317
|
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: Gardner Elementary School | Statement: [Marysville, Michigan, hasElementarySchool, Gardner Elementary School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gardner Elementary School Context triple: [Marysville, Michigan, hasElementarySchool, Gardner Elementary School]
-
A.
Gardner Elementary School
Gardner Elementary School is a public primary school serving young students in the town of Swansea, Massachusetts.
-
B.
Gardner Middle School
Gardner Middle School is a public middle school serving students in the Lansing School District in Lansing, Michigan.
-
C.
Gardner High School
Gardner High School is a public secondary school serving students in the city of Gardner, Massachusetts.
-
D.
Gunter Elementary School
Gunter Elementary School is a public primary school serving young students in the small North Texas community of Gunter.
-
E.
Garrison Elementary School
Garrison Elementary School is a public primary school serving young students in the Dover, New Hampshire community.
- 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: Gardner Elementary School Triple: [Marysville, Michigan, hasElementarySchool, Gardner Elementary School]
Generated description
Gardner Elementary School is a public primary school serving young students in the Marysville, Michigan community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gardner Elementary School Target entity description: Gardner Elementary School is a public primary school serving young students in the Marysville, Michigan community.
-
A.
Gardner Elementary School
Gardner Elementary School is a public primary school serving young students in the town of Swansea, Massachusetts.
-
B.
Gardner Middle School
Gardner Middle School is a public middle school serving students in the Lansing School District in Lansing, Michigan.
-
C.
Gardner High School
Gardner High School is a public secondary school serving students in the city of Gardner, Massachusetts.
-
D.
Gunter Elementary School
Gunter Elementary School is a public primary school serving young students in the small North Texas community of Gunter.
-
E.
Garrison Elementary School
Garrison Elementary School is a public primary school serving young students in the Dover, New Hampshire community.
- 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6769414488190b38e07fd1e989aba |
completed | April 20, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a085a2bbcc8819092432b45bebafde6 |
completed | May 16, 2026, 11:51 a.m. |
| NEDg | Description generation | batch_6a085ac5b5f4819083c4d12e9cabc758 |
completed | May 16, 2026, 11:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a085bc0781c81909fc53a83291badc0 |
completed | May 16, 2026, 11:57 a.m. |
Created at: April 16, 2026, 11:08 a.m.