Triple
T4939471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Langres |
E110891
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Langres Plateau |
E43955
|
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: Langres Plateau | Statement: [Langres, locatedNear, Langres Plateau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langres Plateau Context triple: [Langres, locatedNear, Langres Plateau]
-
A.
Langres Plateau
chosen
The Langres Plateau is a high limestone upland in northeastern France known as a major watershed that gives rise to several important rivers, including the Seine.
-
B.
Yatta Plateau
Yatta Plateau is an extensive ancient lava flow in Kenya, renowned as one of the world’s longest lava plateaus and a prominent geological feature within Tsavo National Park.
-
C.
Dransfeld plateau
The Dransfeld plateau is a hilly upland region in Lower Saxony, Germany, characterized by its forested landscapes and rural settlements.
-
D.
Sanetti Plateau
Sanetti Plateau is a high-altitude Afro-alpine plateau in Ethiopia’s Bale Mountains, known for its unique biodiversity and dramatic volcanic landscapes.
-
E.
Kaas Plateau
Kaas Plateau is a UNESCO World Natural Heritage Site in Maharashtra, India, renowned for its seasonal carpet of wildflowers and unique biodiversity.
- 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_69bd4415eee08190bdce70276e56a5b4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7088f6e48190bf09e58ab053a4d1 |
completed | March 20, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81c950388190a5a1ed856c4f0830 |
completed | March 21, 2026, 11:32 a.m. |
Created at: March 20, 2026, 1:31 p.m.