Triple
T17915499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shannon |
E447914
|
entity |
| Predicate | hasPrimarySchool |
P3445
|
FINISHED |
| Object |
Shannon School
Shannon School is a primary educational institution serving young students in the community of Shannon.
|
E1296267
|
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: Shannon School | Statement: [Shannon, hasPrimarySchool, Shannon School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shannon School Context triple: [Shannon, hasPrimarySchool, Shannon School]
-
A.
Shaker Lane School
Shaker Lane School is a public elementary school serving early-grade students in the town of Littleton, Massachusetts.
-
B.
Sheehan School
Sheehan School is a public elementary school serving young students in the town of Westwood, Massachusetts.
-
C.
Sharon Hill School
Sharon Hill School is a public educational institution serving students in the borough of Sharon Hill, Pennsylvania.
-
D.
Sharon Middle School
Sharon Middle School is a public middle school serving students in the town of Sharon, Massachusetts.
-
E.
Union School
Union School is a public elementary school serving students in the town of Farmington, Connecticut.
- 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: Shannon School Triple: [Shannon, hasPrimarySchool, Shannon School]
Generated description
Shannon School is a primary educational institution serving young students in the community of Shannon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shannon School Target entity description: Shannon School is a primary educational institution serving young students in the community of Shannon.
-
A.
Shaker Lane School
Shaker Lane School is a public elementary school serving early-grade students in the town of Littleton, Massachusetts.
-
B.
Sheehan School
Sheehan School is a public elementary school serving young students in the town of Westwood, Massachusetts.
-
C.
Sharon Hill School
Sharon Hill School is a public educational institution serving students in the borough of Sharon Hill, Pennsylvania.
-
D.
Sharon Middle School
Sharon Middle School is a public middle school serving students in the town of Sharon, Massachusetts.
-
E.
Union School
Union School is a public elementary school serving students in the town of Farmington, Connecticut.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a3054f048190a98a3b314cd82d5c |
completed | April 19, 2026, 9:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03212c9e88819099fb04040e543d63 |
completed | May 12, 2026, 12:46 p.m. |
| NEDg | Description generation | batch_6a0321e2ce7c81909f24975b71f73621 |
completed | May 12, 2026, 12:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a032255c76c81909ab534ae3e8adddc |
completed | May 12, 2026, 12:51 p.m. |
Created at: April 10, 2026, 10:20 a.m.