Triple
T9054658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geta |
E216966
|
entity |
| Predicate | militaryCampaigns |
P86120
|
FINISHED |
| Object | accompanied Septimius Severus in Britain |
—
|
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: accompanied Septimius Severus in Britain | Statement: [Geta, militaryCampaigns, accompanied Septimius Severus in Britain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryCampaigns Context triple: [Geta, militaryCampaigns, accompanied Septimius Severus in Britain]
-
A.
militaryCampaignsIn
Indicates that a military campaign took place within, or was conducted in, a specified geographic or political area.
-
B.
militaryCampaignOf
Indicates a relationship where a specific military campaign is conducted by, initiated by, or belongs to a particular military force, state, or commander.
-
C.
militaryConflict
Indicates a relationship where two or more parties are engaged in organized, armed hostilities or warfare against each other.
-
D.
majorWar
Indicates a large-scale, intense armed conflict between major powers or involving substantial military forces and widespread impact.
-
E.
militaryEventMentionedIn
Indicates that a specific military event is referenced or discussed within a particular document, text, or source.
- 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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7a72e2dc8190a16deff8abe701b1 |
completed | April 1, 2026, 1:52 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee6d83c819095d8ed0779aa8511 |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5f4f1cb48190a025d1b3d8d7a790 |
completed | March 31, 2026, 11:57 p.m. |
Created at: March 30, 2026, 7:10 p.m.