Triple
T5729056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beskid Wyspowy |
E126336
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object |
Mogielica
Mogielica is a prominent mountain peak in southern Poland, known for its scenic hiking trails and panoramic views of the Beskid Wyspowy range.
|
E547278
|
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: Mogielica | Statement: [Beskid Wyspowy, highestPoint, Mogielica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mogielica Context triple: [Beskid Wyspowy, highestPoint, Mogielica]
-
A.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
-
B.
Mława
Mława is a town in north-central Poland known for its historical significance, including a major World War II battle, and its regional cultural and economic role.
-
C.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
D.
Milejewo
Milejewo is a small village in northern Poland, located in the Warmian-Masurian Voivodeship and known for its rural character and surrounding natural landscapes.
-
E.
Mołodeczno
Mołodeczno is a town in present-day Belarus that historically served as an important regional center in the former Wilno Voivodeship.
- 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: Mogielica Triple: [Beskid Wyspowy, highestPoint, Mogielica]
Generated description
Mogielica is a prominent mountain peak in southern Poland, known for its scenic hiking trails and panoramic views of the Beskid Wyspowy range.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mogielica Target entity description: Mogielica is a prominent mountain peak in southern Poland, known for its scenic hiking trails and panoramic views of the Beskid Wyspowy range.
-
A.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
-
B.
Mława
Mława is a town in north-central Poland known for its historical significance, including a major World War II battle, and its regional cultural and economic role.
-
C.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
D.
Milejewo
Milejewo is a small village in northern Poland, located in the Warmian-Masurian Voivodeship and known for its rural character and surrounding natural landscapes.
-
E.
Mołodeczno
Mołodeczno is a town in present-day Belarus that historically served as an important regional center in the former Wilno Voivodeship.
- 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_69c0082f723881908ce8bb13a0c0f8b7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0250d5f4c8190a36b43ef5e6c7837 |
completed | March 22, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c097f0978881908f2b6fb4e6d5e4cd |
completed | March 23, 2026, 1:31 a.m. |
| NEDg | Description generation | batch_69c098ba92408190b61b115540fce941 |
completed | March 23, 2026, 1:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c099b4bc4481909e7cf6886e5ccbea |
completed | March 23, 2026, 1:39 a.m. |
Created at: March 22, 2026, 3:47 p.m.