Triple
T7146738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Table Mountains |
E166587
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Szczeliniec Wielki |
E645998
|
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: Szczeliniec Wielki | Statement: [Table Mountains, contains, Szczeliniec Wielki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Szczeliniec Wielki Context triple: [Table Mountains, contains, Szczeliniec Wielki]
-
A.
Szczeliniec Wielki
chosen
Szczeliniec Wielki is a prominent sandstone peak in southwestern Poland, renowned for its distinctive rock formations, scenic hiking trails, and panoramic views within the Table Mountains region.
-
B.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
C.
Szczawnica
Szczawnica is a Polish spa and tourist town in southern Lesser Poland, known for its mineral springs, health resorts, and scenic location in the Pieniny region near the Dunajec River.
-
D.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
-
E.
Łęczna
Łęczna is a town in eastern Poland known for its location near the Lublin Coal Basin and as a local administrative and service center.
- 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_69c68886779c8190a8e3fbabffe68253 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7d4f3388190941f03fd80b0c223 |
completed | March 27, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b8ee0244819084d5dfb3ee64149b |
completed | March 28, 2026, 11:18 a.m. |
Created at: March 27, 2026, 2:46 p.m.