Triple
T11109684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legio XIV Gemina |
E262721
|
entity |
| Predicate | roleInCivilWar |
P58454
|
FINISHED |
| Object | helped Vespasian gain the imperial throne |
—
|
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: helped Vespasian gain the imperial throne | Statement: [Legio XIV Gemina, roleInCivilWar, helped Vespasian gain the imperial throne]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInCivilWar Context triple: [Legio XIV Gemina, roleInCivilWar, helped Vespasian gain the imperial throne]
-
A.
hasCivilWarAssociation
Indicates a relationship in which an entity is connected or related to a civil war, such as through involvement, impact, or relevance.
-
B.
memberSupportedSideInCivilWar
chosen
Indicates that a member or group actively backed, aligned with, or provided support to a particular side or faction in a civil war.
-
C.
opponentInAmericanCivilWar
Indicates that two entities were on opposing sides in the American Civil War.
-
D.
civilWarTheater
Indicates a geographic or operational area where events of a civil war take place or are focused.
-
E.
positionWithinConfederacy
Indicates that one entity holds a specific role, rank, or status within a confederated group or alliance of entities.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a6896c0819082685b5b4600d158 |
completed | April 9, 2026, 12:24 p.m. |
| PD | Predicate disambiguation | batch_69d7441cf8188190b8095f622c923156 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:27 p.m.