Triple
T32055534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legio II Italica |
E818607
|
entity |
| Predicate | stationedOnRiver |
P66201
|
FINISHED |
| Object | Danube |
—
|
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: Danube | Statement: [Legio II Italica, stationedOnRiver, Danube]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stationedOnRiver Context triple: [Legio II Italica, stationedOnRiver, Danube]
-
A.
locatedOnBankOfRiver
Indicates that one entity is situated along or directly adjacent to the bank of a specified river.
-
B.
locatedInRiverArea
Indicates that one entity is situated within the geographic area occupied by, adjacent to, or directly associated with a particular river.
-
C.
builtOnRiver
Indicates that a structure or settlement is constructed directly alongside or spanning a particular river.
-
D.
operatesOnRiver
chosen
Indicates that an entity conducts its operations or activities on, along, or directly involving a river.
-
E.
locatedBetweenRiver
Indicates that an entity is situated in the area or region between two segments or banks of a river, or between two rivers.
- 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_69f348fdacec8190b9f74375ca3b2094 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b4efb0548190bb8f358c1623ca7d |
completed | May 3, 2026, 2:37 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a7bdb481908d16a32f49e38c2c |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:21 a.m.