Triple
T3133619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villanova University |
E65474
|
entity |
| Predicate | religiousDesignation |
P45568
|
FINISHED |
| Object | Catholic |
—
|
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: Catholic | Statement: [Villanova University, religiousDesignation, Catholic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousDesignation Context triple: [Villanova University, religiousDesignation, Catholic]
-
A.
nationalDesignation
Indicates that an entity has been formally assigned a specific status, title, or classification by a nation or national authority.
-
B.
culturalDesignation
Indicates that an entity has been assigned a particular cultural status, label, or classification within a specific cultural or heritage context.
-
C.
heritageDesignation
Indicates that an entity has been formally assigned a specific cultural, historical, or heritage protection status by an authority.
-
D.
mapDesignation
Indicates a formal label or identifier that is assigned to something specifically for use on a map.
-
E.
cityPlanningDesignation
Indicates how an area is officially classified or designated within urban or municipal planning (e.g., residential, commercial, industrial).
- 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_69ad8581c25c8190b0d85ba9b9baa531 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada56104ec8190a14591ed73f3fe83 |
completed | March 8, 2026, 4:35 p.m. |
| PD | Predicate disambiguation | batch_69ad9df840088190a26a1516f4c1f056 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f7c21c819087e9992f5fe30a37 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:05 p.m.