Triple
T22770359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urseren |
E563537
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Hospental |
—
|
NE NERFINISHED |
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: Hospental | Statement: [Urseren, contains, Hospental]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hospental Context triple: [Urseren, contains, Hospental]
-
A.
Hospental
chosen
Hospental is a small historic village in the Swiss Alps, known for its strategic location at the crossroads of major mountain passes and its traditional alpine architecture.
-
B.
Hansen Family Hospital
Hansen Family Hospital is a community healthcare facility serving residents of Iowa Falls and the surrounding area in Iowa.
-
C.
Tonna Hospital
Tonna Hospital is a healthcare facility serving the community of Tonna in Wales.
-
D.
Syosset Hospital
Syosset Hospital is a community medical center located in Syosset, New York, providing a range of inpatient and outpatient healthcare services to the surrounding area.
-
E.
Boost Hospital
Boost Hospital is a major medical facility in Lashkargah, Afghanistan, providing essential healthcare services to the local population and surrounding regions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24554497c819080b996e071de27c2 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b5cea44819097290351da9c488d |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 3:27 p.m.