Triple
T1100209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mission San Luis Rey de Francia |
E24359
|
entity |
| Predicate | secularized |
P22742
|
FINISHED |
| Object | 1830s |
—
|
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: 1830s | Statement: [Mission San Luis Rey de Francia, secularized, 1830s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secularized Context triple: [Mission San Luis Rey de Francia, secularized, 1830s]
-
A.
hasSecularAspects
Indicates that something includes or exhibits non-religious, worldly, or secular characteristics or dimensions.
-
B.
hasSecularUse
chosen
Indicates that something is used in a non-religious, worldly, or secular context or purpose.
-
C.
consecrated
Indicates that an entity has been formally dedicated or made sacred for a religious or holy purpose.
-
D.
canonized
Indicates that a religious authority has formally declared someone to be a saint or worthy of official veneration.
-
E.
divested
Indicates that one entity has sold off, relinquished, or otherwise disposed of ownership, control, or interest in another entity or asset.
- 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_69a4940542308190ac2a0b1f730b7cfc |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9be92688190838ce35cd67e01f3 |
completed | March 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69a4b745ef3481909a7ce4647c8567b3 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:43 p.m.