Triple
T17655559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman province of Pannonia |
E429612
|
entity |
| Predicate | divisionDateApproximate |
P877
|
FINISHED |
| Object | AD 103 |
—
|
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: AD 103 | Statement: [Roman province of Pannonia, divisionDateApproximate, AD 103]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: divisionDateApproximate Context triple: [Roman province of Pannonia, divisionDateApproximate, AD 103]
-
A.
divisionYear
Indicates the year in which a division or split of an entity took place.
-
B.
divisionSince
Indicates that one entity has been divided or split from another starting at a specific point in time.
-
C.
dateApproximate
chosen
Indicates that the associated date is not exact but estimated or approximate rather than precisely known.
-
D.
divisionRenamedFrom
Indicates that a division currently known by one name was previously known by another specified name.
-
E.
divisionFrequency
Indicates how often a division event occurs within a given context or time frame.
- 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46e40e344819086a49c69f8f2956b |
completed | April 19, 2026, 5:55 a.m. |
| PD | Predicate disambiguation | batch_69e3cddc87188190ac2f049b86038676 |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 6:06 a.m.