Triple
T2599532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gwynedd |
E58308
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Bethesda |
E266540
|
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: Bethesda | Statement: [Gwynedd, contains, Bethesda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bethesda Context triple: [Gwynedd, contains, Bethesda]
-
A.
Bethesda
Bethesda is an affluent unincorporated community in Montgomery County, Maryland, known for its vibrant downtown, medical and research institutions, and proximity to Washington, D.C.
-
B.
Bethesda
chosen
Bethesda is a village in Gwynedd, Wales, historically known for its slate quarrying industry and scenic location near Snowdonia.
-
C.
Bethesda Row
Bethesda Row is a popular mixed-use urban district in downtown Bethesda, Maryland, known for its upscale shops, restaurants, offices, and residential spaces.
-
D.
Bethesda Orphan House
Bethesda Orphan House is a historic 18th-century orphanage and charitable institution in Georgia, established as one of the earliest and most enduring social welfare projects in colonial America.
-
E.
Hat City
Hat City is the nickname of Danbury, Connecticut, reflecting its historic prominence as a major center of hat manufacturing in the United States.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd457564c819080d8c8818c02545a |
completed | March 7, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83cfdd6081908cdeb21243e73dda |
completed | March 10, 2026, 2:37 a.m. |
Created at: March 6, 2026, 9:49 p.m.