Triple
T18133792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Betuwe |
E434083
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Beesd
Beesd is a village in the Dutch province of Gelderland, known for its historic churches and rural character along the Linge River.
|
E1308830
|
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: Beesd | Statement: [West Betuwe, hasSettlement, Beesd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beesd Context triple: [West Betuwe, hasSettlement, Beesd]
-
A.
BEE
BEE is the ICAO airline designator used to identify Flybe in international aviation operations.
-
B.
the Bee
The Bee is a former name meaning associated with the genus Musca, historically used to denote a bee-like characteristic or identity.
-
C.
Bee
Bee is a common English surname shared by various individuals, including the comedian and television host Samantha Bee.
-
D.
Beeban
Beeban is a feminine given name most notably borne by British film director Beeban Kidron.
-
E.
Beesel
Beesel is a small municipality and village in the Dutch province of Limburg, known for its rural character and traditional cultural events.
- 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: Beesd Triple: [West Betuwe, hasSettlement, Beesd]
Generated description
Beesd is a village in the Dutch province of Gelderland, known for its historic churches and rural character along the Linge River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beesd Target entity description: Beesd is a village in the Dutch province of Gelderland, known for its historic churches and rural character along the Linge River.
-
A.
BEE
BEE is the ICAO airline designator used to identify Flybe in international aviation operations.
-
B.
the Bee
The Bee is a former name meaning associated with the genus Musca, historically used to denote a bee-like characteristic or identity.
-
C.
Bee
Bee is a common English surname shared by various individuals, including the comedian and television host Samantha Bee.
-
D.
Beeban
Beeban is a feminine given name most notably borne by British film director Beeban Kidron.
-
E.
Beesel
Beesel is a small municipality and village in the Dutch province of Limburg, known for its rural character and traditional cultural events.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de055c608190a090c2737904e5f9 |
completed | April 19, 2026, 1:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0385489c3c8190b7e20d6c8c75ea16 |
completed | May 12, 2026, 7:53 p.m. |
| NEDg | Description generation | batch_6a038acaf8f48190b88562c0a1df9109 |
completed | May 12, 2026, 8:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a038b4132bc8190992cae1400894fef |
completed | May 12, 2026, 8:19 p.m. |
Created at: April 10, 2026, 10:29 a.m.