Triple
T4349953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reigate and Banstead |
E97998
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Nork |
E156516
|
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: Nork | Statement: [Reigate and Banstead, containsSettlement, Nork]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nork Context triple: [Reigate and Banstead, containsSettlement, Nork]
-
A.
Nork
chosen
Nork is a suburban residential area within the borough of Reigate and Banstead in Surrey, England.
-
B.
Ornes
Ornes is a French village in the Meuse department that was completely destroyed during the Battle of Verdun in World War I and left as an uninhabited memorial site.
-
C.
Kotlas
Kotlas is a significant industrial and transport hub in northern Russia, located at the confluence of the Vychegda and Northern Dvina rivers.
-
D.
Svaneke
Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
-
E.
Noatun
Noatun is the seaside home of the Norse sea god Njord, often depicted as a peaceful, ship-filled haven by the water.
- 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_69b3454965f881908c41190bb22f0e4b |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351a840248190b88c8a7be9158d25 |
completed | March 12, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbb01fb0819083fbdd194b2a96f8 |
completed | March 14, 2026, 10:05 p.m. |
Created at: March 12, 2026, 11:15 p.m.