Triple
T15847818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maloja Pass |
E384258
|
entity |
| Predicate | nearSettlement |
P3883
|
FINISHED |
| Object | Maloja |
E1177581
|
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: Maloja | Statement: [Maloja Pass, nearSettlement, Maloja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maloja Context triple: [Maloja Pass, nearSettlement, Maloja]
-
A.
Maloja
chosen
Maloja is a small Swiss mountain village and pass in the Upper Engadine region of the canton of Graubünden, known for its scenic alpine landscapes and access to nearby lakes and hiking trails.
-
B.
Möja
Möja is a scenic inhabited island in Sweden’s Stockholm archipelago, known for its traditional fishing villages, guest harbors, and popular summer tourism.
-
C.
Masmo
Masmo is a residential district in the southern suburbs of Stockholm, Sweden, known for its metro station on the red line and proximity to green areas and Lake Mälaren.
-
D.
Marale
Marale is a small municipality located in the Francisco Morazán Department of central Honduras.
-
E.
Mlava
Mlava is a river in eastern Serbia that flows through the Braničevo region before joining the Danube.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e14ca96c588190922b1f7556dd08cf |
completed | April 16, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa145f2dc819092db805806b6e1d5 |
completed | May 9, 2026, 9:04 p.m. |
Created at: April 10, 2026, 4:50 a.m.