Triple
T34409635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denver parish |
E883217
|
entity |
| Predicate | hasBuildingDedication |
P188463
|
FINISHED |
| Object | St Mary |
—
|
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: St Mary | Statement: [Denver parish, hasBuildingDedication, St Mary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBuildingDedication Context triple: [Denver parish, hasBuildingDedication, St Mary]
-
A.
hasAltarDedication
Indicates that an altar is dedicated to, in honor of, or in association with a particular entity or purpose.
-
B.
hasBasilicaDedication
Indicates that a basilica is formally dedicated to a particular figure, event, or concept.
-
C.
hadTempleDedicatedTo
Indicates that a temple was formally dedicated in honor of, or for the worship of, a particular entity.
-
D.
hasSiteDedicatedTo
Indicates that an entity maintains or possesses a specific website or web page dedicated to it.
-
E.
hasDedicationPurpose
Indicates that something is dedicated, devoted, or assigned to serve a particular purpose or function.
- 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_69f349c1f2208190a09a489bb8b2719d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69fba789c1188190973a919bfe2871f3 |
completed | May 6, 2026, 8:41 p.m. |
Created at: May 1, 2026, 1:59 a.m.