Triple
T4309712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Main Beskid Trail |
E94040
|
entity |
| Predicate | notableSectionNear |
P5140
|
FINISHED |
| Object |
Turbacz
Turbacz is the highest peak of Poland’s Gorce Mountains, known for its extensive forested slopes and panoramic views, and as a popular destination for hikers.
|
E428995
|
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: Turbacz | Statement: [Main Beskid Trail, notableSectionNear, Turbacz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turbacz Context triple: [Main Beskid Trail, notableSectionNear, Turbacz]
-
A.
Turek
Turek is a town in central Poland known historically for its textile industry and its location in the Greater Poland region.
-
B.
Tachov
Tachov is a town in western Czechia that serves as an administrative center and local hub within the Plzeň Region.
-
C.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
D.
Trebsen
Trebsen is a small town in the Free State of Saxony in eastern Germany, known for its historic castle and location along the Mulde River.
-
E.
Jastarnia
Jastarnia is a seaside resort town and fishing port on Poland’s Baltic coast, popular for its beaches and water sports.
- 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: Turbacz Triple: [Main Beskid Trail, notableSectionNear, Turbacz]
Generated description
Turbacz is the highest peak of Poland’s Gorce Mountains, known for its extensive forested slopes and panoramic views, and as a popular destination for hikers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Turbacz Target entity description: Turbacz is the highest peak of Poland’s Gorce Mountains, known for its extensive forested slopes and panoramic views, and as a popular destination for hikers.
-
A.
Turek
Turek is a town in central Poland known historically for its textile industry and its location in the Greater Poland region.
-
B.
Tachov
Tachov is a town in western Czechia that serves as an administrative center and local hub within the Plzeň Region.
-
C.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
D.
Trebsen
Trebsen is a small town in the Free State of Saxony in eastern Germany, known for its historic castle and location along the Mulde River.
-
E.
Jastarnia
Jastarnia is a seaside resort town and fishing port on Poland’s Baltic coast, popular for its beaches and water sports.
- 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_69b3451886588190a3dd1305ea7c58dc |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b350d55d748190a57fabcf58782dba |
completed | March 12, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c759b65081909b02db56febbc484 |
completed | March 14, 2026, 8:38 p.m. |
| NEDg | Description generation | batch_69b5c7f462488190ab0848f82467cb91 |
completed | March 14, 2026, 8:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5c8a0c0bc8190beba56664874ed9b |
completed | March 14, 2026, 8:44 p.m. |
Created at: March 12, 2026, 11:11 p.m.