Triple
T2845131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reichsgau Wartheland |
E62564
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Turek
Turek is a town in central Poland known historically for its textile industry and its location in the Greater Poland region.
|
E304119
|
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: Turek | Statement: [Reichsgau Wartheland, containsCity, Turek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turek Context triple: [Reichsgau Wartheland, containsCity, Turek]
-
A.
Tachov
Tachov is a town in western Czechia that serves as an administrative center and local hub within the Plzeň Region.
-
B.
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.
-
C.
Jastarnia
Jastarnia is a seaside resort town and fishing port on Poland’s Baltic coast, popular for its beaches and water sports.
-
D.
Olecko
Olecko is a small town in northeastern Poland known for its lakeside setting and location within the historic region of Masuria.
-
E.
Łuck
Łuck is the Polish name for Lutsk, a historic city in western Ukraine known for its medieval castle and role as a regional cultural center.
- 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: Turek Triple: [Reichsgau Wartheland, containsCity, Turek]
Generated description
Turek is a town in central Poland known historically for its textile industry and its location in the Greater Poland region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Turek Target entity description: Turek is a town in central Poland known historically for its textile industry and its location in the Greater Poland region.
-
A.
Tachov
Tachov is a town in western Czechia that serves as an administrative center and local hub within the Plzeň Region.
-
B.
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.
-
C.
Jastarnia
Jastarnia is a seaside resort town and fishing port on Poland’s Baltic coast, popular for its beaches and water sports.
-
D.
Olecko
Olecko is a small town in northeastern Poland known for its lakeside setting and location within the historic region of Masuria.
-
E.
Łuck
Łuck is the Polish name for Lutsk, a historic city in western Ukraine known for its medieval castle and role as a regional cultural center.
- 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_69ab4c3d16bc81908b3a1c98fbd287fe |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf1b58c88190b45d8c5a76dc52ac |
completed | March 7, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8d850b481909850ff5e89021824 |
completed | March 10, 2026, 9:48 a.m. |
| NEDg | Description generation | batch_69afe990ce088190b42b20037c1eef3f |
completed | March 10, 2026, 9:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b00d04f42081909d59e1ad1bec6c34 |
completed | March 10, 2026, 12:22 p.m. |
Created at: March 6, 2026, 10:02 p.m.