Triple
T16544691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Troistorrents |
E401911
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Morgins |
E1211218
|
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: Morgins | Statement: [Troistorrents, hasSettlement, Morgins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morgins Context triple: [Troistorrents, hasSettlement, Morgins]
-
A.
Morgins
chosen
Morgins is a Swiss alpine village and ski resort that forms part of the vast cross-border Portes du Soleil ski area.
-
B.
Morgon
Morgon is a renowned Beaujolais cru in eastern France known for producing relatively structured, age-worthy red wines primarily from the Gamay grape.
-
C.
Morg
Morg is a powerful Marvel Comics supervillain who served as one of Galactus’s most ruthless and brutal heralds.
-
D.
Mornag
Mornag is a town in northeastern Tunisia known for its agricultural plain and vineyards, situated within the Ben Arous Governorate near Tunis.
-
E.
Mornant
Mornant is a commune in eastern France located in the Rhône department, known for its rural character and proximity to the Lyon metropolitan area.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34560daf08190b353b415d8ab280d |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ed9fa988190892ca20939080f5f |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:15 a.m.