Triple
T30766773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Val Fex |
E783393
|
entity |
| Predicate | nearestMajorLocality |
P157001
|
FINISHED |
| Object | Sils im Engadin/Segl |
—
|
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: Sils im Engadin/Segl | Statement: [Val Fex, nearestMajorLocality, Sils im Engadin/Segl]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearestMajorLocality Context triple: [Val Fex, nearestMajorLocality, Sils im Engadin/Segl]
-
A.
nearestMajorTowns
chosen
Indicates that one or more major towns are the closest significant urban centers to a given location or entity.
-
B.
nearestCityTo
Indicates that one city is the closest in distance to a given location or entity compared to all other cities.
-
C.
nearestMajorCity
Indicates that one city is the closest significant urban center to another location or city compared to all other major cities.
-
D.
nearestSuburbOrTown
Indicates that one place is the geographically closest suburb or town to another specified location.
-
E.
nearbyUrbanCenter
Indicates that one location is geographically close to an urban center, such as a city or large town.
- F. None of above.
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_69f224b047f48190b4f5efeb7ee97b37 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f707f7959881908f037f0d6b1d0c36 |
completed | May 3, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69f700fc274c8190a128593dc7c7abd0 |
completed | May 3, 2026, 8:02 a.m. |
Created at: April 29, 2026, 8:40 p.m.