Triple
T32307370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Our Lady of Monterrey |
E825403
|
entity |
| Predicate | hasDedicationAt |
P197635
|
FINISHED |
| Object | Monterrey Cathedral |
—
|
NE NERFINISHED |
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: Monterrey Cathedral | Statement: [Our Lady of Monterrey, hasDedicationAt, Monterrey Cathedral]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDedicationAt Context triple: [Our Lady of Monterrey, hasDedicationAt, Monterrey Cathedral]
-
A.
hasDedicationContext
Indicates that an entity is associated with a specific contextual setting or circumstance in which a dedication (e.g., a tribute, inscription, or formal acknowledgment) is made.
-
B.
hasDedicationPurpose
Indicates that something is dedicated, devoted, or assigned to serve a particular purpose or function.
-
C.
dedicationStatus
Indicates the current state or condition of an entity’s dedication or commitment, such as whether it is active, pending, completed, or otherwise defined.
-
D.
dedicationBy
Indicates that one entity formally dedicates, commits, or devotes another entity (such as a work, resource, or effort) to a particular person, purpose, or cause.
-
E.
dedicationType
Indicates the specific kind or category of dedication that characterizes the relationship or action between entities.
- 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_69f349115304819084ee91d345b6c8aa |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe9fb9735c8190a360b556c9d00b3f |
completed | May 9, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69fe9eaa88008190a9b2a469dc685002 |
completed | May 9, 2026, 2:40 a.m. |
| PDg | Predicate description generation | batch_69fe9fb88db08190a8f4af350633330e |
completed | May 9, 2026, 2:45 a.m. |
Created at: May 1, 2026, 12:45 a.m.