Triple
T15487726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swansea, Massachusetts |
E377093
|
entity |
| Predicate | hasElementarySchool |
P113
|
FINISHED |
| Object |
Brown Elementary School
Brown Elementary School is a public primary school serving young students in the town of Swansea, Massachusetts.
|
E1160762
|
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: Brown Elementary School | Statement: [Swansea, Massachusetts, hasElementarySchool, Brown Elementary School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brown Elementary School Context triple: [Swansea, Massachusetts, hasElementarySchool, Brown Elementary School]
-
A.
Brown Elementary School
Brown Elementary School is a public primary school serving young students in the Channelview, Texas community.
-
B.
Bell Elementary School
Bell Elementary School is a public primary school serving young students in the small town of Bell, Florida.
-
C.
Smith Elementary School
Smith Elementary School is a public elementary school serving young students in the Danvers Public Schools district in Danvers, Massachusetts.
-
D.
Brownsville Elementary School
Brownsville Elementary School is a public primary school serving young students in the community of Crozet, Virginia.
-
E.
Bow Elementary School
Bow Elementary School is a public primary school serving young students in the town of Bow, New Hampshire.
- 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: Brown Elementary School Triple: [Swansea, Massachusetts, hasElementarySchool, Brown Elementary School]
Generated description
Brown Elementary School is a public primary school serving young students in the town of Swansea, Massachusetts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brown Elementary School Target entity description: Brown Elementary School is a public primary school serving young students in the town of Swansea, Massachusetts.
-
A.
Brown Elementary School
Brown Elementary School is a public primary school serving young students in the Channelview, Texas community.
-
B.
Bell Elementary School
Bell Elementary School is a public primary school serving young students in the small town of Bell, Florida.
-
C.
Smith Elementary School
Smith Elementary School is a public elementary school serving young students in the Danvers Public Schools district in Danvers, Massachusetts.
-
D.
Brownsville Elementary School
Brownsville Elementary School is a public primary school serving young students in the community of Crozet, Virginia.
-
E.
Bow Elementary School
Bow Elementary School is a public primary school serving young students in the town of Bow, New Hampshire.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03faaca588190b0397bc2e27a522a |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff365d45488190b48458092b6ffead |
completed | May 9, 2026, 1:27 p.m. |
| NEDg | Description generation | batch_69ff376dac388190ab3b7e3553d2de29 |
completed | May 9, 2026, 1:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff382f1bbc8190810d0d825430f9ea |
completed | May 9, 2026, 1:35 p.m. |
Created at: April 10, 2026, 3:48 a.m.