Triple
T19388314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Purmerend |
E484991
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Binnenstad
Binnenstad is the historic central district of the Dutch city of Purmerend, characterized by its traditional urban layout and core municipal functions.
|
E1374457
|
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: Binnenstad | Statement: [Purmerend, hasDistrict, Binnenstad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Binnenstad Context triple: [Purmerend, hasDistrict, Binnenstad]
-
A.
Binnenstad
Binnenstad is the historic city center of Utrecht in the Netherlands, known for its medieval architecture, canals, and cultural landmarks.
-
B.
Binnenstad
Binnenstad is the historic city center of Leiden in the Netherlands, known for its canals, old university buildings, and preserved medieval streets.
-
C.
Binnenstad
Binnenstad is the historic city center of Amsterdam, known for its canals, medieval streets, and major cultural and governmental landmarks.
-
D.
Noordermarkt
Noordermarkt is a historic square and popular market in Amsterdam’s Jordaan district, known for its organic farmers’ market and antique stalls.
-
E.
Oude Schans
Oude Schans is a historic canal in central Amsterdam, known for its picturesque waterfront and prominent landmarks along its banks.
- 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: Binnenstad Triple: [Purmerend, hasDistrict, Binnenstad]
Generated description
Binnenstad is the historic central district of the Dutch city of Purmerend, characterized by its traditional urban layout and core municipal functions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Binnenstad Target entity description: Binnenstad is the historic central district of the Dutch city of Purmerend, characterized by its traditional urban layout and core municipal functions.
-
A.
Binnenstad
Binnenstad is the historic city center of Utrecht in the Netherlands, known for its medieval architecture, canals, and cultural landmarks.
-
B.
Binnenstad
Binnenstad is the historic city center of Amsterdam, known for its canals, medieval streets, and major cultural and governmental landmarks.
-
C.
Binnenstad
Binnenstad is the historic city center of Leiden in the Netherlands, known for its canals, old university buildings, and preserved medieval streets.
-
D.
Noordermarkt
Noordermarkt is a historic square and popular market in Amsterdam’s Jordaan district, known for its organic farmers’ market and antique stalls.
-
E.
Oude Schans
Oude Schans is a historic canal in central Amsterdam, known for its picturesque waterfront and prominent landmarks along its banks.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b425e848190ab5ae8ae0a034fe2 |
completed | April 20, 2026, 12:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a072b8503108190bfcd0ac7c94183f7 |
completed | May 15, 2026, 2:19 p.m. |
| NEDg | Description generation | batch_6a072dc9e9808190ab0e5b6dd35147ab |
completed | May 15, 2026, 2:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a072e3709e881909d70f130a77fc428 |
completed | May 15, 2026, 2:31 p.m. |
Created at: April 10, 2026, 1:36 p.m.