Triple
T6214707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urseren-Goms region |
E138956
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object | Realp |
E563538
|
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: Realp | Statement: [Urseren-Goms region, hasVillage, Realp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Realp Context triple: [Urseren-Goms region, hasVillage, 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.
Reitoca
Reitoca is a municipality in southern Honduras known for its rural character and location within the Francisco Morazán Department.
-
C.
Ruyz
Ruyz is a less common spelling variant of the Spanish surname Ruiz.
-
D.
Verdú
Verdú is a Spanish surname most notably borne by acclaimed film and television actress Maribel Verdú.
-
E.
Varela
Varela is a Spanish surname borne by numerous notable figures in politics, the military, arts, and public life across the Spanish-speaking world.
- 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_69c008ada364819096c9e92c74d639b5 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062a0e0488190b71b42386bacf982 |
completed | March 22, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f61ed708190a034136cc270e9d0 |
completed | March 23, 2026, 4:50 p.m. |
Created at: March 22, 2026, 4:21 p.m.