Triple
T29104062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flavius Gratianus |
E736714
|
entity |
| Predicate | removedAltarOf |
P166330
|
FINISHED |
| Object | Altar of Victory in the Roman Senate |
—
|
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: Altar of Victory in the Roman Senate | Statement: [Flavius Gratianus, removedAltarOf, Altar of Victory in the Roman Senate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: removedAltarOf Context triple: [Flavius Gratianus, removedAltarOf, Altar of Victory in the Roman Senate]
-
A.
hasAltar
Indicates that one entity possesses, contains, or includes an altar as part of its features or components.
-
B.
hasAltarLocation
Indicates that an altar is situated at or associated with a specific location.
-
C.
shrineRemovedIn
Indicates that a shrine was removed, dismantled, or no longer existed starting in the specified time or date.
-
D.
hasAltarDedication
Indicates that an altar is dedicated to, in honor of, or in association with a particular entity or purpose.
-
E.
numberOfAltars
Indicates the quantity of altars associated with a given entity or context.
- 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_69f077ec765c81909474c88bcc8bab43 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f661b842808190ac168c6f3d40d23c |
completed | May 2, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65f75ac608190a62cd6afce14f68e |
completed | May 2, 2026, 8:32 p.m. |
Created at: April 28, 2026, 11:14 a.m.