Triple
T22770360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urseren |
E563537
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Realp |
—
|
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: Realp | Statement: [Urseren, contains, Realp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Realp Context triple: [Urseren, contains, Realp]
-
A.
Realp
chosen
Realp is a small Swiss mountain village and municipality in the canton of Uri, known as a base for alpine activities and access to the Furka region.
-
B.
Realejo
Realejo is a historic neighborhood in Granada, Spain, known for its former Jewish quarter, narrow streets, and blend of traditional and modern urban life.
-
C.
Reitoca
Reitoca is a municipality in southern Honduras known for its rural character and location within the Francisco Morazán Department.
-
D.
Riaza
Riaza is a small historic town in the province of Segovia, Spain, known for its traditional Castilian architecture and proximity to the Sierra de Ayllón mountains.
-
E.
Rebollo
Rebollo is a Spanish surname most notably associated with Antonio Rebollo, the Paralympic archer who lit the Olympic cauldron at the 1992 Barcelona Games.
- 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.