Triple
T29848607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capitolium of Brixia |
E758000
|
entity |
| Predicate | cityInAntiquity |
P107813
|
FINISHED |
| Object | Brixia |
—
|
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: Brixia | Statement: [Capitolium of Brixia, cityInAntiquity, Brixia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityInAntiquity Context triple: [Capitolium of Brixia, cityInAntiquity, Brixia]
-
A.
majorAncientCity
Indicates that a location functioned as a principal or highly significant city during ancient historical periods.
-
B.
ancientCity
Indicates that the subject is a historically old or long-established city, typically originating from ancient times.
-
C.
oneOfOldestCities
Indicates that the subject is among the oldest cities within a specified group, region, or context.
-
D.
relatesToAncientCity
chosen
Indicates a relationship or connection between an entity and an ancient city, such as origin, location, influence, or relevance.
-
E.
ancientCapitalLocatedIn
Indicates that a city served as the capital of an ancient polity or civilization and was geographically situated within a specified region or territory.
- 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_69f2245a82cc8190a387e7d0118d710b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f676460ab48190846671315930e418 |
completed | May 2, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69f66ac32b60819092290b2de35988d3 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 29, 2026, 5:43 p.m.