Triple
T1259376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siberia |
E12462
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Lake Baikal |
E56001
|
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: Lake Baikal | Statement: [Siberia, contains, Lake Baikal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Baikal Context triple: [Siberia, contains, Lake Baikal]
-
A.
Lake Baikal
chosen
Lake Baikal is a massive rift lake in Siberia renowned as the world's deepest and oldest freshwater lake, containing about one-fifth of the planet's unfrozen surface fresh water.
-
B.
Lake Velence
Lake Velence is one of Hungary’s largest natural lakes, known as a popular resort and recreation area in the Transdanubian region.
-
C.
Lake Onega
Lake Onega is one of Europe's largest freshwater lakes, located in northwestern Russia and known for its numerous islands, historic monasteries, and significant ecological and economic importance.
-
D.
Lake Ladoga
Lake Ladoga is a vast freshwater lake in northwestern Russia, renowned as the largest lake in Europe and an important ecological and historical region.
-
E.
Ligeia Mare
Ligeia Mare is one of the largest known hydrocarbon seas on Saturn’s moon Titan, composed primarily of liquid methane and ethane.
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfc3a2848190891e73b351019d5b |
completed | March 1, 2026, 10:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac9982a1588190999045eaae01e559 |
completed | March 7, 2026, 9:32 p.m. |
Created at: March 1, 2026, 7:50 p.m.