Triple
T4746223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Gustav Lejeune Dirichlet |
E105365
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Düren
Düren is a town in western Germany’s North Rhine-Westphalia, known as an industrial center situated between Cologne and Aachen.
|
E466244
|
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: Düren | Statement: [Peter Gustav Lejeune Dirichlet, placeOfBirth, Düren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Düren Context triple: [Peter Gustav Lejeune Dirichlet, placeOfBirth, Düren]
-
A.
Kenderes
Kenderes is a town in Hungary best known as the birthplace and family estate center of Regent Miklós Horthy.
-
B.
Wukari
Wukari is a historic town in present-day Taraba State, Nigeria, long associated with the Jukun people and the traditional Wukari Federation.
-
C.
Orlu
Orlu is a prominent town and commercial hub in southeastern Nigeria that serves as an important center for trade, industry, and regional administration.
-
D.
Ilgın
Ilgın is a town and district in Turkey’s Konya Province, known for its thermal springs and agricultural activities.
-
E.
Özdamar
Özdamar is the surname of Emine Sevgi Özdamar, a prominent Turkish-German writer, actress, and director known for her works on migration and cultural identity.
- 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: Düren Triple: [Peter Gustav Lejeune Dirichlet, placeOfBirth, Düren]
Generated description
Düren is a town in western Germany’s North Rhine-Westphalia, known as an industrial center situated between Cologne and Aachen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Düren Target entity description: Düren is a town in western Germany’s North Rhine-Westphalia, known as an industrial center situated between Cologne and Aachen.
-
A.
Kenderes
Kenderes is a town in Hungary best known as the birthplace and family estate center of Regent Miklós Horthy.
-
B.
Wukari
Wukari is a historic town in present-day Taraba State, Nigeria, long associated with the Jukun people and the traditional Wukari Federation.
-
C.
Orlu
Orlu is a prominent town and commercial hub in southeastern Nigeria that serves as an important center for trade, industry, and regional administration.
-
D.
Ilgın
Ilgın is a town and district in Turkey’s Konya Province, known for its thermal springs and agricultural activities.
-
E.
Özdamar
Özdamar is the surname of Emine Sevgi Özdamar, a prominent Turkish-German writer, actress, and director known for her works on migration and cultural identity.
- 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_69bd43ef87a48190a5bc3600711aa032 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64ab946481909eccdb3e8c5d1f6a |
completed | March 20, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be3a40bee88190ae97f6d409b51e96 |
completed | March 21, 2026, 6:27 a.m. |
| NEDg | Description generation | batch_69be3af59ef88190a5acc493978d412e |
completed | March 21, 2026, 6:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be3c8533fc8190b512d3fec34e7e28 |
completed | March 21, 2026, 6:36 a.m. |
Created at: March 20, 2026, 1:20 p.m.