Triple
T8275815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Historic Area of Willemstad, Inner City and Harbour |
E193543
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Scharloo |
E723046
|
NE FINISHED |
How this triple was built (2 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: Scharloo | Statement: [Historic Area of Willemstad, Inner City and Harbour, hasPart, Scharloo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scharloo Context triple: [Historic Area of Willemstad, Inner City and Harbour, hasPart, Scharloo]
-
A.
Scharloo
chosen
Scharloo is a historic neighborhood in Willemstad, Curaçao, known for its well-preserved colonial architecture and former Jewish merchant mansions.
-
B.
Ropscha
Ropscha is a rural locality in Leningrad Oblast, Russia, historically known for its imperial estate associated with the Russian royal family.
-
C.
Schierke
Schierke is a small village in the Harz Mountains of Germany, known as a gateway to the Brocken peak and for its historic narrow-gauge railway connections and winter sports tourism.
-
D.
Bramsche
Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
-
E.
Braunshardt
Braunshardt is a district of the town of Weiterstadt in the state of Hesse, Germany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82e14ae481908ffdb822cd2192bc |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb798d69508190b581ad8a38730175 |
completed | March 31, 2026, 7:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd9510a74c8190a8f8c9c7e430b5ae |
completed | April 1, 2026, 9:58 p.m. |
Created at: March 30, 2026, 5:51 p.m.