Triple
T15346158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoeksche Waard |
E366923
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | ’s-Gravendeel |
E1086284
|
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: ’s-Gravendeel | Statement: [Hoeksche Waard, containsSettlement, ’s-Gravendeel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ’s-Gravendeel Context triple: [Hoeksche Waard, containsSettlement, ’s-Gravendeel]
-
A.
’s-Gravendeel
chosen
’s-Gravendeel is a village in the South Holland province of the Netherlands, historically known as a polder settlement in the Hoeksche Waard region.
-
B.
Legmeer
Legmeer is a residential neighborhood within the Dutch municipality of Uithoorn in the province of North Holland.
-
C.
Drost
Drost is a Dutch surname most notably associated with the 17th-century painter Willem Drost, a pupil of Rembrandt.
-
D.
Gwathmey
Gwathmey is the surname of Charles Gwathmey, a prominent American architect known for his influential modernist designs.
-
E.
Essenrode
Essenrode is a small village in Lower Saxony, Germany, historically associated with the noble von Hardenberg family.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e1749bc8190a8b9cbcb27288a5b |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01f931408190828d87567cecaceb |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:17 a.m.