Triple
T8476362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pisochne Lake |
E200402
|
entity |
| Predicate | hasNameInEnglish |
P3437
|
FINISHED |
| Object | Pisochne Lake |
E200402
|
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: Pisochne Lake | Statement: [Pisochne Lake, hasNameInEnglish, Pisochne Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pisochne Lake Context triple: [Pisochne Lake, hasNameInEnglish, Pisochne Lake]
-
A.
Pisochne Lake
chosen
Pisochne Lake is a freshwater lake located in Ukraine’s Volyn Oblast, known for its clear waters and natural surroundings.
-
B.
Rohlík Lake
Rohlík Lake is a small urban lake and recreational spot located in the Ružinov district of Bratislava, Slovakia.
-
C.
Slăvei Lake
Slăvei Lake is a glacial lake located within Romania’s Retezat National Park, known for its alpine scenery and pristine natural environment.
-
D.
Kachrali Lake
Kachrali Lake is a popular urban lake and recreational spot located in the city of Thane, Maharashtra, India.
-
E.
Zănoaga Lake
Zănoaga Lake is a high-altitude glacial lake in Romania’s Retezat Mountains, noted for its great depth and scenic alpine surroundings.
- 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_69ca831b17988190a1f3f3413d57b820 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe51e21548190811e3c7ba7b196e5 |
completed | March 31, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3a0f5e088190b70b2c7437884b3b |
completed | April 2, 2026, 9:42 a.m. |
Created at: March 30, 2026, 6:12 p.m.