Triple
T17826806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Collombey-Muraz |
E445138
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Massongex |
—
|
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: Massongex | Statement: [Collombey-Muraz, borders, Massongex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Massongex Context triple: [Collombey-Muraz, borders, Massongex]
-
A.
Massongex
chosen
Massongex is a small municipality in the canton of Valais in southwestern Switzerland, located in the Rhône valley near the town of Monthey.
-
B.
Morelle
Morelle is a surname most notably associated with American politician Joseph D. Morelle, a U.S. Representative from New York.
-
C.
Mutrux
Mutrux is a small rural municipality in the canton of Vaud in western Switzerland, situated near Lake Neuchâtel.
-
D.
Masti
Masti is a 2004 Indian Hindi-language adult comedy film known for its mix of slapstick humor and marital infidelity themes, featuring Lara Dutta in a prominent role.
-
E.
Manne
Manne is a given name most notably borne by Swedish physicist Manne Siegbahn, a Nobel laureate recognized for his work in X-ray spectroscopy.
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48914e20481908883d1da194f446c |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 10, 2026, 10:15 a.m.