Triple
T7251512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District of Vechta |
E157611
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Bakum
Bakum is a small rural municipality in Lower Saxony, Germany, situated within the District of Vechta.
|
E651236
|
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: Bakum | Statement: [District of Vechta, hasMunicipality, Bakum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bakum Context triple: [District of Vechta, hasMunicipality, Bakum]
-
A.
Shimonoseki
Shimonoseki is a Japanese port city at the southwestern tip of Honshu known as a key maritime gateway between Japan and the Korean Peninsula.
-
B.
Akkō
Akkō is a historic port city in northern Israel, also known as Acre, renowned for its well-preserved Crusader and Ottoman architecture.
-
C.
Nago
Nago is a coastal city in northern Okinawa, Japan, known for its beaches, subtropical climate, and role as a regional commercial and cultural center.
-
D.
Gotanda
Gotanda is a bustling commercial and entertainment district in Tokyo known for its offices, shopping, and nightlife, located within Shinagawa Ward.
-
E.
Douai
Douai is a historic town in northern France known for its medieval belfry, former importance as a university and legal center, and role in the shifting Franco-Flemish borderlands.
- 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: Bakum Triple: [District of Vechta, hasMunicipality, Bakum]
Generated description
Bakum is a small rural municipality in Lower Saxony, Germany, situated within the District of Vechta.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bakum Target entity description: Bakum is a small rural municipality in Lower Saxony, Germany, situated within the District of Vechta.
-
A.
Shimonoseki
Shimonoseki is a Japanese port city at the southwestern tip of Honshu known as a key maritime gateway between Japan and the Korean Peninsula.
-
B.
Akkō
Akkō is a historic port city in northern Israel, also known as Acre, renowned for its well-preserved Crusader and Ottoman architecture.
-
C.
Nago
Nago is a coastal city in northern Okinawa, Japan, known for its beaches, subtropical climate, and role as a regional commercial and cultural center.
-
D.
Gotanda
Gotanda is a bustling commercial and entertainment district in Tokyo known for its offices, shopping, and nightlife, located within Shinagawa Ward.
-
E.
Douai
Douai is a historic town in northern France known for its medieval belfry, former importance as a university and legal center, and role in the shifting Franco-Flemish borderlands.
- 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_69c6882d81d4819085f7ff862951ee4f |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea7ae0e48190bd80c91bad1976c6 |
completed | March 27, 2026, 8:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d3a7502081909d2a97a60cc445ae |
completed | March 28, 2026, 1:12 p.m. |
| NEDg | Description generation | batch_69c7d4690adc81909abbfb7a756f453d |
completed | March 28, 2026, 1:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7d517a7108190893878cbef7d1a3a |
completed | March 28, 2026, 1:18 p.m. |
Created at: March 27, 2026, 2:56 p.m.