Triple
T6869201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Limburg |
E158494
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Beesel
Beesel is a small municipality and village in the Dutch province of Limburg, known for its rural character and traditional cultural events.
|
E625343
|
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: Beesel | Statement: [North Limburg, contains, Beesel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beesel Context triple: [North Limburg, contains, Beesel]
-
A.
Beeby
Beeby is a surname most notably associated with American architect Thomas Beeby, a prominent figure in postmodern and classical revival design.
-
B.
Kebechet
Kebechet is an ancient Egyptian goddess associated with purification and cooling water, particularly in the context of mummification and the afterlife.
-
C.
Orlybus
Orlybus is a dedicated airport shuttle bus service connecting central Paris with Orly Airport.
-
D.
Budorcas
Budorcas is a genus of large, goat-antelope-like mammals best known for the takin, a robust, shaggy ungulate native to the mountainous regions of Asia.
-
E.
Boebe
Boebe was an ancient town in the region of Magnesia in Thessaly, Greece, known from classical sources and associated with nearby Lake Boebeis.
- 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: Beesel Triple: [North Limburg, contains, Beesel]
Generated description
Beesel is a small municipality and village in the Dutch province of Limburg, known for its rural character and traditional cultural events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beesel Target entity description: Beesel is a small municipality and village in the Dutch province of Limburg, known for its rural character and traditional cultural events.
-
A.
Beeby
Beeby is a surname most notably associated with American architect Thomas Beeby, a prominent figure in postmodern and classical revival design.
-
B.
Kebechet
Kebechet is an ancient Egyptian goddess associated with purification and cooling water, particularly in the context of mummification and the afterlife.
-
C.
Orlybus
Orlybus is a dedicated airport shuttle bus service connecting central Paris with Orly Airport.
-
D.
Budorcas
Budorcas is a genus of large, goat-antelope-like mammals best known for the takin, a robust, shaggy ungulate native to the mountainous regions of Asia.
-
E.
Boebe
Boebe was an ancient town in the region of Magnesia in Thessaly, Greece, known from classical sources and associated with nearby Lake Boebeis.
- 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_69c68831e3648190a643c328122e4d43 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8a916a88190b81551731dff2898 |
completed | March 27, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c74299ae148190a56c7b1ee8829f40 |
completed | March 28, 2026, 2:53 a.m. |
| NEDg | Description generation | batch_69c743a639f88190a0758194433322bf |
completed | March 28, 2026, 2:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7445fbd488190938ec3dd59cbeb2c |
completed | March 28, 2026, 3 a.m. |
Created at: March 27, 2026, 2:22 p.m.