Triple
T35620227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Vincent Outside the Walls |
E1029289
|
entity |
| Predicate | isDedicatedAs |
P1283
|
FINISHED |
| Object | monastery of Saint Vincent |
—
|
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: monastery of Saint Vincent | Statement: [Saint Vincent Outside the Walls, isDedicatedAs, monastery of Saint Vincent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isDedicatedAs Context triple: [Saint Vincent Outside the Walls, isDedicatedAs, monastery of Saint Vincent]
-
A.
isDedicatedTax
Indicates that a tax is specifically earmarked for a particular purpose, fund, or use rather than going into general revenue.
-
B.
isDedicatedArea
Indicates that one area is specifically reserved or designated for a particular purpose, use, or entity.
-
C.
hasSiteDedicatedTo
Indicates that an entity maintains or possesses a specific website or web page dedicated to it.
-
D.
dedicated
chosen
Indicates that one entity is formally assigned, reserved, or committed for the specific use, benefit, or purpose of another entity.
-
E.
hasComponentDedication
Indicates that an entity includes or is associated with a specific dedication as one of its components.
- 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_69f76e0709408190bbe322bf1707ef6b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79ef00064819096b8eae7f5cdd30a |
completed | May 3, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:05 p.m.