Triple
T13441483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bethlehem Central School District |
E320370
|
entity |
| Predicate | regionServed |
P82
|
FINISHED |
| Object | Town of Bethlehem |
E940714
|
NE FINISHED |
How this triple was built (2 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: Town of Bethlehem | Statement: [Bethlehem Central School District, regionServed, Town of Bethlehem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Town of Bethlehem Context triple: [Bethlehem Central School District, regionServed, Town of Bethlehem]
-
A.
Town of Bethlehem
chosen
The Town of Bethlehem is a suburban municipality in Albany County, New York, known for its residential communities and proximity to the city of Albany.
-
B.
Bethel
Bethel is a small town in western Maine known as a gateway to the White Mountains and a center for outdoor recreation and regional history.
-
C.
Bethel
Bethel is a remote city in western Alaska that serves as a regional hub for transportation, health care, and services for many surrounding Yup’ik villages.
-
D.
Bethel
Bethel is a small residential community and neighbourhood within the city of Port Colborne in Ontario, Canada.
-
E.
Bethel
Bethel is a residential suburb and local community area on the outskirts of St Austell in Cornwall, England.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee704ac8190b4c7f4e0d3a88494 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7399421908190a7750e37c89a73f6 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:40 p.m.