Triple
T1281033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mission San Rafael Arcángel |
E27324
|
entity |
| Predicate | hasReconstructedChurch |
P26703
|
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: [Mission San Rafael Arcángel, hasReconstructedChurch, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReconstructedChurch Context triple: [Mission San Rafael Arcángel, hasReconstructedChurch, yes]
-
A.
hasChurch
Indicates that a place or entity possesses, contains, or is associated with a church.
-
B.
formerCathedral
Indicates that a building once held the status and function of a cathedral but no longer does.
-
C.
hasRebuiltHistoricCenter
Indicates that an entity has undertaken and completed the restoration or reconstruction of a historic city or town center.
-
D.
reconstructedAfter
Indicates that one entity has been rebuilt, restored, or reassembled following the occurrence or existence of another entity or event.
-
E.
reconstructedIn
Indicates that something has been rebuilt, restored, or re-created within a particular context, location, or medium.
- F. None of above. chosen
Provenance (4 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_69a496d3710c8190955dee8bc0dacb50 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c094eb4881909a33061339f91190 |
completed | March 1, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69a4bee276d8819092f71c5a1140bb61 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4bf60545c8190901ccfb2cb7c4b41 |
completed | March 1, 2026, 10:36 p.m. |
Created at: March 1, 2026, 7:50 p.m.