Triple
T33319287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miracle of the Thundering Legion |
E853094
|
entity |
| Predicate | hasLocationApproximation |
P22067
|
FINISHED |
| Object | region of the Danube frontier |
—
|
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: region of the Danube frontier | Statement: [Miracle of the Thundering Legion, hasLocationApproximation, region of the Danube frontier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocationApproximation Context triple: [Miracle of the Thundering Legion, hasLocationApproximation, region of the Danube frontier]
-
A.
hasApproximateLocation
chosen
Indicates that an entity is associated with a location that is known only imprecisely or within a general area rather than an exact position.
-
B.
hasApproximateCoordinates
Indicates that an entity is associated with location coordinates that are estimated or imprecise rather than exact.
-
C.
hasApproximateNumberOfLocations
Indicates that an entity is associated with an estimated or approximate count of locations, rather than an exact number.
-
D.
exactLocationKnown
Indicates that the precise geographic or spatial position of an entity is known and specified.
-
E.
hasLocationComponent
Indicates that something includes, is associated with, or is composed of a specific location-related part or element.
- 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_69f349685f088190b8fda44083a018a9 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe744faca881908e11e90e0a35653f |
completed | May 8, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69fe734cbf7081909a552c5cf3b5ea59 |
completed | May 8, 2026, 11:35 p.m. |
Created at: May 1, 2026, 1:33 a.m.