Triple
T11011711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cloppenburg (district) |
E260262
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Garrel
Garrel is a rural municipality in Lower Saxony, Germany, known for its agriculture and location within the Cloppenburg district.
|
E899557
|
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: Garrel | Statement: [Cloppenburg (district), hasMunicipality, Garrel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garrel Context triple: [Cloppenburg (district), hasMunicipality, Garrel]
-
A.
Gil Avérous
Gil Avérous is a French politician who serves as the mayor of the city of Châteauroux.
-
B.
Christophe
Christophe is a French theoretical physicist and science communicator known for his popular science books and collaborations with Stephen Hawking.
-
C.
Simon Aumar
Simon Aumar is a fledgling but resourceful sorcerer and descendant of the powerful Elminster who serves as a key member of the adventuring party in the film "Dungeons & Dragons: Honor Among Thieves."
-
D.
Gerard
Gerard is a masculine given name of Germanic origin, commonly used in various European countries.
-
E.
Dorian Rigal-Ansous
Dorian Rigal-Ansous is a film editor known for his work on the movie "Heartbreaker."
- 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: Garrel Triple: [Cloppenburg (district), hasMunicipality, Garrel]
Generated description
Garrel is a rural municipality in Lower Saxony, Germany, known for its agriculture and location within the Cloppenburg district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Garrel Target entity description: Garrel is a rural municipality in Lower Saxony, Germany, known for its agriculture and location within the Cloppenburg district.
-
A.
Gil Avérous
Gil Avérous is a French politician who serves as the mayor of the city of Châteauroux.
-
B.
Christophe
Christophe is a French theoretical physicist and science communicator known for his popular science books and collaborations with Stephen Hawking.
-
C.
Simon Aumar
Simon Aumar is a fledgling but resourceful sorcerer and descendant of the powerful Elminster who serves as a key member of the adventuring party in the film "Dungeons & Dragons: Honor Among Thieves."
-
D.
Gerard
Gerard is a masculine given name of Germanic origin, commonly used in various European countries.
-
E.
Dorian Rigal-Ansous
Dorian Rigal-Ansous is a film editor known for his work on the movie "Heartbreaker."
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7978a57a881909b4ceae0ebe21b78 |
completed | April 9, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e374ac78348190a8c0a5a7a736b24b |
completed | April 18, 2026, 12:10 p.m. |
| NEDg | Description generation | batch_69e378df767c819099d0bfdf35eaf5f3 |
completed | April 18, 2026, 12:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e37bf526108190b5fc22569fe6be54 |
completed | April 18, 2026, 12:41 p.m. |
Created at: April 8, 2026, 9:25 p.m.