Triple
T10150715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sommelsdijk |
E232628
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Middelharnis |
E70502
|
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: Middelharnis | Statement: [Sommelsdijk, nearbySettlement, Middelharnis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Middelharnis Context triple: [Sommelsdijk, nearbySettlement, Middelharnis]
-
A.
Middelharnis
chosen
Middelharnis is a town in the western Netherlands known historically as a fishing and agricultural community on the island of Goeree-Overflakkee.
-
B.
Middelstum
Middelstum is a historic village in the Dutch province of Groningen, known for its old churches and traditional architecture.
-
C.
Danelaw
Danelaw was a historical region of England under Scandinavian control and influence, characterized by Norse law, culture, and settlement during the early Middle Ages.
-
D.
Udarser Wiek
Udarser Wiek is a shallow bay in the Baltic Sea off the coast of the German island of Rügen, known for its coastal wetlands and bird habitats.
-
E.
Ludbreg
Ludbreg is a small historic town in northern Croatia, often noted for its religious heritage and claim to be the geographic center of the country.
- 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_69ca84885e48819088a31b127cf44904 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec0584a48190b65daa8370555c27 |
completed | April 2, 2026, 4:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e640d1e0819094d30556ccb958b0 |
completed | April 5, 2026, 10:46 p.m. |
Created at: March 30, 2026, 9:08 p.m.