Triple
T34682329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church of Sant’Alfonso di Liguori all’Esquilino |
E890652
|
entity |
| Predicate | iconTitle |
P179615
|
FINISHED |
| Object | Our Lady of Perpetual Help |
—
|
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: Our Lady of Perpetual Help | Statement: [Church of Sant’Alfonso di Liguori all’Esquilino, iconTitle, Our Lady of Perpetual Help]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iconTitle Context triple: [Church of Sant’Alfonso di Liguori all’Esquilino, iconTitle, Our Lady of Perpetual Help]
-
A.
iconLabel
Indicates that a textual label or caption is associated with a specific icon.
-
B.
iconOf
Indicates that one entity serves as a symbolic or representative image or emblem of another entity.
-
C.
iconShape
Indicates the geometric form or outline that an icon visually takes.
-
D.
iconColor
Indicates the color attribute assigned to an icon in a user interface or graphical context.
-
E.
titleComponent
Indicates that one entity is a component or segment of the overall title associated with another entity.
- 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_69f349dabc008190a18999c26682ed47 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7232925e48190b6ecd37927325057 |
completed | May 3, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69f72157af108190880317a62e634bb0 |
completed | May 3, 2026, 10:20 a.m. |
| PDg | Predicate description generation | batch_69f7221bc57c819085c1464a45e61b2f |
completed | May 3, 2026, 10:23 a.m. |
Created at: May 1, 2026, 2:05 a.m.