Triple
T24109853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uppingham School |
E597336
|
entity |
| Predicate | hasScienceFacilities |
P19190
|
FINISHED |
| Object | yes |
—
|
LITERAL 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: yes | Statement: [Uppingham School, hasScienceFacilities, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScienceFacilities Context triple: [Uppingham School, hasScienceFacilities, yes]
-
A.
hasScienceCenter
chosen
Indicates that an entity possesses, hosts, or includes a science center as one of its facilities or components.
-
B.
hasResearchInfrastructure
Indicates that an entity possesses, controls, or provides access to facilities, equipment, or resources used to conduct research.
-
C.
hasObservationFacility
Indicates that an entity possesses or is associated with a facility used for observing, monitoring, or collecting data about something.
-
D.
hasScience
Indicates that an entity possesses, includes, or is associated with a particular scientific discipline, content, or attribute.
-
E.
hasScienceRack
Indicates that an entity is equipped with or includes a designated rack used for holding or organizing scientific equipment or materials.
- 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_69e288c60f9c8190af948d7354aedbeb |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1de19ce048190aaa3b7b73db50e2f |
completed | April 29, 2026, 10:31 a.m. |
| PD | Predicate disambiguation | batch_69f17651458c8190bbfd301883e46085 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11:02 p.m.