Triple
T7976433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saverne |
E185457
|
entity |
| Predicate | locatedAt |
P40
|
FINISHED |
| Object |
Saverne Gap
Saverne Gap is a narrow, strategically important pass through the Vosges Mountains in northeastern France that connects the Alsace plain with the Lorraine plateau.
|
E703128
|
NE FINISHED |
How this triple was built (4 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: Saverne Gap | Statement: [Saverne, locatedAt, Saverne Gap]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saverne Gap Context triple: [Saverne, locatedAt, Saverne Gap]
-
A.
Chalamain Gap
Chalamain Gap is a rocky mountain pass in the Cairngorms of Scotland, known as a popular but rough route used by hikers ascending nearby peaks such as Braeriach.
-
B.
Stepps Gap
Stepps Gap is a mountain pass or col located within the Black Mountains range.
-
C.
Lupkow Pass
Lupkow Pass is a mountain pass in the Carpathians on the border between Poland and Slovakia, historically used as a key transit route through the range.
-
D.
Cove Gap
Cove Gap is a small unincorporated community in Pennsylvania best known as the birthplace of U.S. President James Buchanan.
-
E.
Orofure Pass
Orofure Pass is a scenic mountain pass in Hokkaido, Japan, known for its panoramic views, heavy winter snowfall, and access to nearby hot spring resorts.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Saverne Gap Triple: [Saverne, locatedAt, Saverne Gap]
Generated description
Saverne Gap is a narrow, strategically important pass through the Vosges Mountains in northeastern France that connects the Alsace plain with the Lorraine plateau.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saverne Gap Target entity description: Saverne Gap is a narrow, strategically important pass through the Vosges Mountains in northeastern France that connects the Alsace plain with the Lorraine plateau.
-
A.
Chalamain Gap
Chalamain Gap is a rocky mountain pass in the Cairngorms of Scotland, known as a popular but rough route used by hikers ascending nearby peaks such as Braeriach.
-
B.
Stepps Gap
Stepps Gap is a mountain pass or col located within the Black Mountains range.
-
C.
Lupkow Pass
Lupkow Pass is a mountain pass in the Carpathians on the border between Poland and Slovakia, historically used as a key transit route through the range.
-
D.
Cove Gap
Cove Gap is a small unincorporated community in Pennsylvania best known as the birthplace of U.S. President James Buchanan.
-
E.
Orofure Pass
Orofure Pass is a scenic mountain pass in Hokkaido, Japan, known for its panoramic views, heavy winter snowfall, and access to nearby hot spring resorts.
- F. None of above. chosen
Provenance (5 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bf56f688190902b95afe42635ec |
completed | March 31, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0cc09a081909cb92cd4864ef50d |
completed | March 31, 2026, 2:57 p.m. |
| NEDg | Description generation | batch_69cbe43d29f8819080f7d729c4f28c75 |
completed | March 31, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc32e2e1c48190b86218bff9af99f5 |
completed | March 31, 2026, 8:47 p.m. |
Created at: March 30, 2026, 5:14 p.m.