Triple
T10984064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reitdiep |
E259581
|
entity |
| Predicate | hasSettlementOnBank |
P1010
|
FINISHED |
| Object |
Garnwerd
Garnwerd is a small historic village in the Dutch province of Groningen, known for its picturesque setting along the Reitdiep river and traditional architecture.
|
E898122
|
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: Garnwerd | Statement: [Reitdiep, hasSettlementOnBank, Garnwerd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garnwerd Context triple: [Reitdiep, hasSettlementOnBank, Garnwerd]
-
A.
Weyarn
Weyarn is a small Bavarian municipality in southern Germany, located in the Alpine foothills and known for its historic monastery and rural character.
-
B.
Sandarne
Sandarne is a small locality in east-central Sweden, situated on the coast within Gävleborg County.
-
C.
Gogar
Gogar is a district in western Edinburgh, Scotland, known for its proximity to major transport links including Edinburgh Airport.
-
D.
Torphichen
Torphichen is a historic village in central Scotland known for its medieval preceptory of the Knights Hospitaller and its picturesque rural setting.
-
E.
Arvegil
Arvegil is a fictional Dúnedain king of Arnor in J.R.R. Tolkien’s legendarium, descended from Isildur.
- 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: Garnwerd Triple: [Reitdiep, hasSettlementOnBank, Garnwerd]
Generated description
Garnwerd is a small historic village in the Dutch province of Groningen, known for its picturesque setting along the Reitdiep river and traditional architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Garnwerd Target entity description: Garnwerd is a small historic village in the Dutch province of Groningen, known for its picturesque setting along the Reitdiep river and traditional architecture.
-
A.
Weyarn
Weyarn is a small Bavarian municipality in southern Germany, located in the Alpine foothills and known for its historic monastery and rural character.
-
B.
Sandarne
Sandarne is a small locality in east-central Sweden, situated on the coast within Gävleborg County.
-
C.
Gogar
Gogar is a district in western Edinburgh, Scotland, known for its proximity to major transport links including Edinburgh Airport.
-
D.
Torphichen
Torphichen is a historic village in central Scotland known for its medieval preceptory of the Knights Hospitaller and its picturesque rural setting.
-
E.
Arvegil
Arvegil is a fictional Dúnedain king of Arnor in J.R.R. Tolkien’s legendarium, descended from Isildur.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d772ec55fc81909b2b15f2493dddc6 |
completed | April 9, 2026, 9:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e344d860b08190a035570191c54d7c |
completed | April 18, 2026, 8:46 a.m. |
| NEDg | Description generation | batch_69e3556e8b408190a02a1fe194ae5750 |
completed | April 18, 2026, 9:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3591ecd548190b049ce95fe3f86d9 |
completed | April 18, 2026, 10:12 a.m. |
Created at: April 8, 2026, 9:24 p.m.