Triple
T7432627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Foss |
E171527
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Haxby |
E664295
|
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: Haxby | Statement: [River Foss, nearbySettlement, Haxby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haxby Context triple: [River Foss, nearbySettlement, Haxby]
-
A.
Haxby
chosen
Haxby is a town in North Yorkshire, England, situated just north of York.
-
B.
Thagard
Thagard is the surname of Norman E. Thagard, an American physician, former NASA astronaut, and the first American to fly on a Russian spacecraft.
-
C.
Marr area
The Marr area is a largely rural region of western Aberdeenshire in northeast Scotland, known for its upland landscapes, Deeside and Donside valleys, and historic estates.
-
D.
Nancy Kanwisher
Nancy Kanwisher is a cognitive neuroscientist renowned for her pioneering work on the functional organization of the human brain, particularly in visual perception and face recognition.
-
E.
Moscovitch
Moscovitch is a surname most notably associated with Maurice Moscovitch, a Russian-born Jewish actor who worked in theatre and film in the early 20th century.
- 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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f325ea908190b668fd4ce646f1e6 |
completed | March 27, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827829a848190afca7b5f79c51c7c |
completed | March 28, 2026, 7:09 p.m. |
Created at: March 27, 2026, 3:12 p.m.