Triple
T734647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Overijssel |
E14902
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Deventer
Deventer is a historic Dutch city known for its medieval architecture, Hanseatic trading past, and annual book market.
|
E360206
|
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: Deventer | Statement: [Overijssel, containsCity, Deventer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deventer Context triple: [Overijssel, containsCity, Deventer]
-
A.
Culemborg
Culemborg is a historic town in the Dutch province of Gelderland, known for its medieval center and role in the early Dutch colonial era.
-
B.
Zutphen
Zutphen is a historic city in the eastern Netherlands known for its well-preserved medieval center and location along the river IJssel.
-
C.
Zwolle
Zwolle is a historic Dutch city in the eastern Netherlands known for its medieval center, cultural heritage, and regional economic importance.
-
D.
Gorinchem
Gorinchem is a historic fortified city in the Netherlands known for its well-preserved city walls and picturesque old town.
-
E.
Apeldoorn
Apeldoorn is a city in the province of Gelderland in the Netherlands, known for the royal palace Het Loo and its historical ties to the Dutch monarchy.
- 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: Deventer Triple: [Overijssel, containsCity, Deventer]
Generated description
Deventer is a historic Dutch city known for its medieval architecture, Hanseatic trading past, and annual book market.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Deventer Target entity description: Deventer is a historic Dutch city known for its medieval architecture, Hanseatic trading past, and annual book market.
-
A.
Culemborg
Culemborg is a historic town in the Dutch province of Gelderland, known for its medieval center and role in the early Dutch colonial era.
-
B.
Zutphen
Zutphen is a historic city in the eastern Netherlands known for its well-preserved medieval center and location along the river IJssel.
-
C.
Zwolle
Zwolle is a historic Dutch city in the eastern Netherlands known for its medieval center, cultural heritage, and regional economic importance.
-
D.
Gorinchem
Gorinchem is a historic fortified city in the Netherlands known for its well-preserved city walls and picturesque old town.
-
E.
Apeldoorn
Apeldoorn is a city in the province of Gelderland in the Netherlands, known for the royal palace Het Loo and its historical ties to the Dutch monarchy.
- 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_69a4934d9930819099eed80096b0597d |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5d8c6148190a468f2d95f7ec91f |
completed | March 1, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b367d6290081908f67eac0b7f6c53c |
completed | March 13, 2026, 1:26 a.m. |
| NEDg | Description generation | batch_69b368340ba881908e8b809d6cff24c2 |
completed | March 13, 2026, 1:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b368c2dc0c8190a0e93d5bf062466e |
completed | March 13, 2026, 1:30 a.m. |
Created at: March 1, 2026, 7:37 p.m.