Triple
T9189135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olecko |
E220535
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Treuburg
Treuburg is the former German name of the town now known as Olecko, located in northeastern Poland.
|
E783835
|
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: Treuburg | Statement: [Olecko, formerName, Treuburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Treuburg Context triple: [Olecko, formerName, Treuburg]
-
A.
Ortenburg
Ortenburg is a market town in Lower Bavaria, Germany, known for its historic castle and role as a former seat of the Counts of Ortenburg.
-
B.
Todenfeld
Todenfeld is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
C.
Eulachstadt
Eulachstadt is a nickname for the Swiss city of Winterthur, reflecting its historical association with the Eulach River and its development as an important industrial and cultural center.
-
D.
Arzdorf
Arzdorf is a village and district of the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
E.
Treffurt
Treffurt is a small historic town in the German state of Thuringia, near the border with Hesse.
- 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: Treuburg Triple: [Olecko, formerName, Treuburg]
Generated description
Treuburg is the former German name of the town now known as Olecko, located in northeastern Poland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Treuburg Target entity description: Treuburg is the former German name of the town now known as Olecko, located in northeastern Poland.
-
A.
Ortenburg
Ortenburg is a market town in Lower Bavaria, Germany, known for its historic castle and role as a former seat of the Counts of Ortenburg.
-
B.
Todenfeld
Todenfeld is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
C.
Eulachstadt
Eulachstadt is a nickname for the Swiss city of Winterthur, reflecting its historical association with the Eulach River and its development as an important industrial and cultural center.
-
D.
Arzdorf
Arzdorf is a village and district of the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
E.
Treffurt
Treffurt is a small historic town in the German state of Thuringia, near the border with Hesse.
- 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_69ca83e6d77c81909862b7afef56b1bf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd5bd8c5c81909d0cdbcd7410fcee |
completed | April 1, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c272f508190aade1769c88cf16d |
completed | April 4, 2026, 12:32 a.m. |
| NEDg | Description generation | batch_69d05cda59f88190bcde5a91aec2f9dd |
completed | April 4, 2026, 12:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d05ddd28008190b82c42220871e73f |
completed | April 4, 2026, 12:39 a.m. |
Created at: March 30, 2026, 7:24 p.m.