Triple
T2018346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Maria ad Martyres |
E44046
|
entity |
| Predicate | hasChapels |
P34531
|
FINISHED |
| Object | side chapels around the rotunda |
—
|
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: side chapels around the rotunda | Statement: [Santa Maria ad Martyres, hasChapels, side chapels around the rotunda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChapels Context triple: [Santa Maria ad Martyres, hasChapels, side chapels around the rotunda]
-
A.
hasChapelCountApprox
Indicates an approximate number of chapels associated with an entity.
-
B.
hasCathedralChapter
Indicates that an ecclesiastical jurisdiction or church possesses or is served by a cathedral chapter as its governing or advisory body.
-
C.
hasClericalStructure
Indicates that an entity possesses an organized clerical or administrative hierarchy or framework.
-
D.
hasChapelArchitect
Indicates that an entity has another entity serving as the architect responsible for designing its chapel.
-
E.
hasChurch
Indicates that a place or entity possesses, contains, or is associated with a church.
- 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_69a8891201bc8190aca837be6de41579 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb8ce71788190ac21beff10b08122 |
completed | March 7, 2026, 5:34 a.m. |
| PD | Predicate disambiguation | batch_69abb7a389408190a84a54856352f15b |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb83e7888819096dc40275c77daff |
completed | March 7, 2026, 5:31 a.m. |
Created at: March 4, 2026, 7:38 p.m.