Triple
T1080515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arausio |
E23934
|
entity |
| Predicate | colonyOf |
P23713
|
FINISHED |
| Object | veterans of Legio II Gallica |
—
|
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: veterans of Legio II Gallica | Statement: [Arausio, colonyOf, veterans of Legio II Gallica]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colonyOf Context triple: [Arausio, colonyOf, veterans of Legio II Gallica]
-
A.
wasColonyOf
Indicates that one entity functioned as a colony under the political control or administration of another entity.
-
B.
colonyName
Indicates that a colony entity is associated with and identified by a specific name.
-
C.
isColonialFoundationOf
Indicates that one entity was established as a colony that later developed into or served as the origin of the other entity.
-
D.
operatedInColony
Indicates that an entity conducted operations or activities within a specific colony.
-
E.
numberOfColonies
Indicates the count of distinct colonies associated with or possessed by a given entity.
- F. None of above. chosen
Provenance (4 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_69a493f1ddf48190a99d54b00e99f8ce |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b946af788190b400644a2dec68c3 |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b73d9f08819093668104f129840e |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b80f0fb08190a19a50e38ae8f16c |
completed | March 1, 2026, 10:05 p.m. |
Created at: March 1, 2026, 7:42 p.m.