Triple
T38417548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legio XIII Gemina |
E903137
|
entity |
| Predicate | provinceStationedIn |
P75412
|
FINISHED |
| Object | Pannonia |
—
|
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: Pannonia | Statement: [Legio XIII Gemina, provinceStationedIn, Pannonia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: provinceStationedIn Context triple: [Legio XIII Gemina, provinceStationedIn, Pannonia]
-
A.
stationedInProvince
chosen
Indicates that an entity is assigned or based in a particular province as its location or area of operation.
-
B.
provinceOf
Indicates that one administrative region functions as a province belonging to or governed by a larger territorial or political entity.
-
C.
residencyOf
Indicates that one entity serves as the place where another entity resides or lives.
-
D.
hasStationInCity
Indicates that a station or facility is located within a particular city.
-
E.
destinationProvince
Indicates the province that serves as the endpoint or target location of a movement, transfer, or route.
- 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_69f76e67e4fc8190a7d08dfe9a8af998 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff069ec1348190815375c5c9e38404 |
completed | May 9, 2026, 10:04 a.m. |
| PD | Predicate disambiguation | batch_69ff05ba57f88190a45d20f18044e0fb |
completed | May 9, 2026, 10 a.m. |
Created at: May 3, 2026, 4:31 p.m.