Triple
T7251188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrés de Urdaneta |
E157603
|
entity |
| Predicate | religiousOrderEntryYear |
P20285
|
FINISHED |
| Object | circa 1553 |
—
|
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: circa 1553 | Statement: [Andrés de Urdaneta, religiousOrderEntryYear, circa 1553]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousOrderEntryYear Context triple: [Andrés de Urdaneta, religiousOrderEntryYear, circa 1553]
-
A.
baptismYear
Indicates the calendar year in which an entity’s baptism took place.
-
B.
religiousOrderAssociation
chosen
Indicates that an entity is formally connected to, affiliated with, or a member of a particular religious order.
-
C.
ordinationYear
Indicates the year in which an individual was formally ordained to a religious office or role.
-
D.
religiousOrderSupported
Indicates that one entity provides support—such as resources, endorsement, or maintenance—to a particular religious order.
-
E.
founderReligiousOrder
Indicates that a person established or created a particular religious order.
- 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_69c6882d81d4819085f7ff862951ee4f |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea791fec8190aee56ab4503770be |
completed | March 27, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69c6e7666ffc81908bf643d8257e6337 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:56 p.m.