Triple
T13821823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hala Gąsienicowa |
E332155
|
entity |
| Predicate | accessTrailFrom |
P82537
|
FINISHED |
| Object |
Brzeziny
Brzeziny is a small settlement in southern Poland that serves as a popular starting point for hiking routes into the Tatra Mountains.
|
E1298765
|
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: Brzeziny | Statement: [Hala Gąsienicowa, accessTrailFrom, Brzeziny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brzeziny Context triple: [Hala Gąsienicowa, accessTrailFrom, Brzeziny]
-
A.
Brzeżany
Brzeżany is a historic town in present-day western Ukraine, formerly part of Poland, known for its multicultural heritage and notable residents such as Marshal Eduard Rydz-Śmigły.
-
B.
Brzesko
Brzesko is a town in southern Poland known for its historical architecture and regional brewing traditions.
-
C.
Brzeszcze
Brzeszcze is a small town in southern Poland, known in part as the longtime home of former Polish Prime Minister Beata Szydło.
-
D.
Zembrzyce
Zembrzyce is a village in southern Poland that serves as the local administrative and cultural hub of its surrounding rural area.
-
E.
Zbrosławice
Zbrosławice is a village in southern Poland known as the seat of its rural administrative district in the Silesian 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: Brzeziny Triple: [Hala Gąsienicowa, accessTrailFrom, Brzeziny]
Generated description
Brzeziny is a small settlement in southern Poland that serves as a popular starting point for hiking routes into the Tatra Mountains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brzeziny Target entity description: Brzeziny is a small settlement in southern Poland that serves as a popular starting point for hiking routes into the Tatra Mountains.
-
A.
Brzeżany
Brzeżany is a historic town in present-day western Ukraine, formerly part of Poland, known for its multicultural heritage and notable residents such as Marshal Eduard Rydz-Śmigły.
-
B.
Brzesko
Brzesko is a town in southern Poland known for its historical architecture and regional brewing traditions.
-
C.
Brzeszcze
Brzeszcze is a small town in southern Poland, known in part as the longtime home of former Polish Prime Minister Beata Szydło.
-
D.
Zembrzyce
Zembrzyce is a village in southern Poland that serves as the local administrative and cultural hub of its surrounding rural area.
-
E.
Zbrosławice
Zbrosławice is a village in southern Poland known as the seat of its rural administrative district in the Silesian 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0284428081908043c55caeefb833 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a032ff689cc81908f4944b8917ebe28 |
completed | May 12, 2026, 1:49 p.m. |
| NEDg | Description generation | batch_6a0331d2b1ec81908fdd6278a4e378a4 |
completed | May 12, 2026, 1:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03329ea1b08190b5922485cbee83a8 |
completed | May 12, 2026, 2:01 p.m. |
Created at: April 9, 2026, 10:12 p.m.