Triple
T36439460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Catholic Diocese of Gonaïves |
E897686
|
entity |
| Predicate | hasCathedralSeeIn |
P9022
|
FINISHED |
| Object | Gonaïves |
—
|
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: Gonaïves | Statement: [Roman Catholic Diocese of Gonaïves, hasCathedralSeeIn, Gonaïves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCathedralSeeIn Context triple: [Roman Catholic Diocese of Gonaïves, hasCathedralSeeIn, Gonaïves]
-
A.
hasCathedralTown
Indicates that a given town is recognized as having a cathedral, typically serving as the seat of a bishop or central church authority.
-
B.
hasCathedralCity
chosen
Indicates that a particular city is officially recognized as the cathedral city associated with a given ecclesiastical jurisdiction or region.
-
C.
hasCathedralDedicatedTo
Indicates that one entity possesses or contains a cathedral whose dedication (to a saint, figure, or concept) is specifically associated with another entity.
-
D.
hasCatholicCathedral
Indicates that a place or jurisdiction possesses at least one officially recognized Catholic cathedral within its boundaries.
-
E.
hasCathedrals
Indicates that an entity possesses, contains, or is associated with one or more cathedrals.
- 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_69f76e56636481908eda808ab0273401 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ffc083a54c8190ac80d05ee8d20a6b |
completed | May 9, 2026, 11:17 p.m. |
| PD | Predicate disambiguation | batch_69ffbfeb05b88190b4d50ce8124004d9 |
completed | May 9, 2026, 11:14 p.m. |
Created at: May 3, 2026, 4:10 p.m.