Triple
T3267658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holy Name Cathedral |
E68564
|
entity |
| Predicate | parishEstablished |
P46988
|
FINISHED |
| Object | 1846 |
—
|
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: 1846 | Statement: [Holy Name Cathedral, parishEstablished, 1846]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parishEstablished Context triple: [Holy Name Cathedral, parishEstablished, 1846]
-
A.
municipalityEstablished
Indicates that a municipality was officially created or founded at a specific point in time.
-
B.
parish
Indicates that an entity is administratively or ecclesiastically associated with a particular parish.
-
C.
parishIncludes
Indicates that a parish geographically or administratively contains or encompasses another entity or area.
-
D.
isParishSeatOf
Indicates that a location serves as the administrative center or main seat of government for a particular parish.
-
E.
hasParishChurchDedication
Indicates that a parish church is dedicated to, or placed under the patronage of, a particular figure, saint, or sacred concept.
- 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_69ad8590444081909e8107a8aeef3a23 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafcf9c6c819092f9c618b778b46d |
completed | March 8, 2026, 5:20 p.m. |
| PD | Predicate disambiguation | batch_69ada41d7eac8190ada4bf5f793d5c49 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada525bb2c8190b773efe6d696b6ab |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:09 p.m.