Triple
T14298863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holy Chalice of Valencia |
E354508
|
entity |
| Predicate | dateOfMounting |
P25196
|
FINISHED |
| Object | medieval period |
—
|
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: medieval period | Statement: [Holy Chalice of Valencia, dateOfMounting, medieval period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfMounting Context triple: [Holy Chalice of Valencia, dateOfMounting, medieval period]
-
A.
dateInstalled
Indicates the specific date on which an item, system, or component was installed or put into service.
-
B.
acquisitionDate
Indicates the date on which one entity formally acquires or takes ownership of another entity.
-
C.
yearOfOriginalInstallation
chosen
Indicates the specific calendar year when something was first installed or put into initial operation.
-
D.
constructionDate
Indicates the date on which an entity (such as a building or structure) was constructed or completed.
-
E.
landingDate
Indicates the date on which an entity arrives at or touches down on a specified destination or surface.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de717e246c819083e67ac2b3b77881 |
completed | April 14, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69de2a8f81f08190af737e1654847aa6 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:11 a.m.