Triple
T14646958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giffre valley |
E343874
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Taninges |
E343880
|
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: Taninges | Statement: [Giffre valley, hasSettlement, Taninges]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taninges Context triple: [Giffre valley, hasSettlement, Taninges]
-
A.
Taninges
chosen
Taninges is a commune in the Haute-Savoie department of southeastern France, situated in the French Alps.
-
B.
Toran
Toran is a given name that can be used for individuals in various cultures and contexts.
-
C.
Thann
Thann is a small historic town in northeastern France, located at the foot of the Vosges mountains in the Haut-Rhin department of Alsace.
-
D.
Tashir
Tashir is a small town located in Armenia’s northern Lori Province.
-
E.
Outariz
Outariz is a well-known thermal spa area near Ourense in northwestern Spain, famous for its natural hot springs and riverside bathing pools.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4ebe8048190a2935d00c9cfd8be |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5d7915c8190ae690810110c0b60 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:26 a.m.