Triple
T6192494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rynek (main market square) |
E138426
|
entity |
| Predicate | hasNameInPolish |
P15778
|
FINISHED |
| Object |
Rynek
Rynek is the historic main market square found in many Polish towns and cities, typically serving as their central public and commercial space.
|
E575211
|
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: Rynek | Statement: [Rynek (main market square), hasNameInPolish, Rynek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rynek Context triple: [Rynek (main market square), hasNameInPolish, Rynek]
-
A.
Tricity
Tricity is the urban conglomeration in northern India comprising Chandigarh and its adjoining cities of Mohali and Panchkula.
-
B.
Marktbreit
Marktbreit is a small historic town in Bavaria, Germany, best known as the birthplace of psychiatrist and neuropathologist Alois Alzheimer.
-
C.
Markt
Markt is the central market square of Bruges, Belgium, known for its historic guild houses, bustling cafes, and prominent Belfry tower.
-
D.
Oras
Oras is a coastal municipality in the province of Eastern Samar in the Philippines, known for its rural communities and Pacific shoreline.
-
E.
Stolica
Stolica is the highest peak of the Slovak Ore Mountains in central Slovakia, known for its forested slopes and scenic hiking routes.
- 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: Rynek Triple: [Rynek (main market square), hasNameInPolish, Rynek]
Generated description
Rynek is the historic main market square found in many Polish towns and cities, typically serving as their central public and commercial space.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rynek Target entity description: Rynek is the historic main market square found in many Polish towns and cities, typically serving as their central public and commercial space.
-
A.
Tricity
Tricity is the urban conglomeration in northern India comprising Chandigarh and its adjoining cities of Mohali and Panchkula.
-
B.
Marktbreit
Marktbreit is a small historic town in Bavaria, Germany, best known as the birthplace of psychiatrist and neuropathologist Alois Alzheimer.
-
C.
Markt
Markt is the central market square of Bruges, Belgium, known for its historic guild houses, bustling cafes, and prominent Belfry tower.
-
D.
Oras
Oras is a coastal municipality in the province of Eastern Samar in the Philippines, known for its rural communities and Pacific shoreline.
-
E.
Stolica
Stolica is the highest peak of the Slovak Ore Mountains in central Slovakia, known for its forested slopes and scenic hiking routes.
- 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_69c008ab9b3081908a11b2c744838435 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06241977c81909ab8486f5aa30be0 |
completed | March 22, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f1403888190b558a43998fa5d05 |
completed | March 23, 2026, 4:49 p.m. |
| NEDg | Description generation | batch_69c1e2a4ec088190bf7a7359a9f86645 |
completed | March 24, 2026, 1:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1e3323f788190a8cc4c870fef1d2b |
completed | March 24, 2026, 1:04 a.m. |
Created at: March 22, 2026, 4:19 p.m.