Triple
T13165608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germania Inferior |
E312841
|
entity |
| Predicate | hadLegionaryBase |
P50573
|
FINISHED |
| Object | Vetera |
E553880
|
NE 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: Vetera | Statement: [Germania Inferior, hadLegionaryBase, Vetera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vetera Context triple: [Germania Inferior, hadLegionaryBase, Vetera]
-
A.
Vetera
chosen
Vetera was a major Roman legionary fortress and military base on the Rhine frontier in the province of Germania Inferior.
-
B.
Geltow
Geltow is a village in the German state of Brandenburg, known as a district of the municipality Schwielowsee near Potsdam.
-
C.
Adiutrix
Adiutrix is the Latin term meaning "helper" or "assistant," historically associated with the Roman legion Legio I Adiutrix and reflecting its supportive military role.
-
D.
Hæren
Hæren is the land warfare branch of Norway’s armed forces, responsible for ground-based military operations and national defense.
-
E.
Vojak
Vojak is the highest peak of the Učka mountain range in Croatia, offering panoramic views over the Istrian peninsula and the Adriatic Sea.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c0bf5a48190bf245dceee24b579 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaf6c9ec8190bc0097d62e57e52a |
completed | May 3, 2026, 6:28 a.m. |
Created at: April 9, 2026, 9:13 p.m.