Triple
T6433339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jordaan |
E129829
|
entity |
| Predicate | hasStreet |
P959
|
FINISHED |
| Object |
Rozengracht
Rozengracht is a prominent street in Amsterdam’s Jordaan neighborhood, known for its historic canalside buildings, shops, and cafés.
|
E592203
|
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: Rozengracht | Statement: [Jordaan, hasStreet, Rozengracht]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rozengracht Context triple: [Jordaan, hasStreet, Rozengracht]
-
A.
Molenaarsgraaf
Molenaarsgraaf is a small village in the Dutch province of South Holland, known for its rural character and traditional polder landscape.
-
B.
Geervliet
Geervliet is a small historic town in the western Netherlands, located in the province of South Holland.
-
C.
Zandkreek
Zandkreek is a tidal waterway and former estuary in the Dutch province of Zeeland, known for its role in regional water management and coastal protection.
-
D.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
E.
Strandvliet
Strandvliet is a metro station in Amsterdam that serves passengers on the city's rapid transit network.
- 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: Rozengracht Triple: [Jordaan, hasStreet, Rozengracht]
Generated description
Rozengracht is a prominent street in Amsterdam’s Jordaan neighborhood, known for its historic canalside buildings, shops, and cafés.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rozengracht Target entity description: Rozengracht is a prominent street in Amsterdam’s Jordaan neighborhood, known for its historic canalside buildings, shops, and cafés.
-
A.
Molenaarsgraaf
Molenaarsgraaf is a small village in the Dutch province of South Holland, known for its rural character and traditional polder landscape.
-
B.
Geervliet
Geervliet is a small historic town in the western Netherlands, located in the province of South Holland.
-
C.
Zandkreek
Zandkreek is a tidal waterway and former estuary in the Dutch province of Zeeland, known for its role in regional water management and coastal protection.
-
D.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
E.
Strandvliet
Strandvliet is a metro station in Amsterdam that serves passengers on the city's rapid transit network.
- 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_69c0084caac48190a7bc2ad8ba44536f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0693de6ac81909f3e330363a52102 |
completed | March 22, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640ec681881909c75a55b33c09eb6 |
completed | March 27, 2026, 8:33 a.m. |
| NEDg | Description generation | batch_69c642c9e6448190af2a651253704e84 |
completed | March 27, 2026, 8:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c643628a8881908084a417b1303d26 |
completed | March 27, 2026, 8:44 a.m. |
Created at: March 22, 2026, 4:45 p.m.