Triple
T25493814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uffington, Berkshire, England |
E638901
|
entity |
| Predicate | hasNearbyScheduledMonument |
P115556
|
FINISHED |
| Object | Uffington White Horse |
—
|
NE NERFINISHED |
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: Uffington White Horse | Statement: [Uffington, Berkshire, England, hasNearbyScheduledMonument, Uffington White Horse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyScheduledMonument Context triple: [Uffington, Berkshire, England, hasNearbyScheduledMonument, Uffington White Horse]
-
A.
hasScheduledMonument
chosen
Indicates that an entity is associated with, or contains, a site or structure officially designated as a scheduled monument.
-
B.
nearbyMonumentDedication
Indicates that a monument located close to a given reference point has been formally dedicated, typically in honor of a person, event, or concept.
-
C.
hasNearbyPilgrimageSite
Indicates that one entity is located close to a place used as a pilgrimage site for religious or spiritual journeys.
-
D.
hasNearbyArchaeologicalSite
Indicates that an entity is located close to or in the vicinity of an archaeological site.
-
E.
nearbyTomb
Indicates that one entity is located close to or in the immediate vicinity of a tomb.
- F. None of above.
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_69e75dbbd2a88190b70e1e645de14b9a |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 21, 2026, 2:39 p.m.