Triple
T32851432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siege of Avaricum |
E840261
|
entity |
| Predicate | alliesOfDefenders |
P136406
|
FINISHED |
| Object | Arverni |
—
|
NE NERFINISHED |
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: Arverni | Statement: [Siege of Avaricum, alliesOfDefenders, Arverni]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alliesOfDefenders Context triple: [Siege of Avaricum, alliesOfDefenders, Arverni]
-
A.
alliesOf
chosen
Indicates that one entity is in a cooperative, supportive, or mutually beneficial alliance with another entity.
-
B.
alliesIncluded
Indicates that the specified set or group explicitly includes one or more allied entities as members.
-
C.
alliesInWar
Indicates that two or more parties are cooperating as allies on the same side in a specific war or armed conflict.
-
D.
alliedAgainstBy
Indicates that the subject is opposed by an entity that has formed an alliance with others against it.
-
E.
alliesInFiction
Indicates that two or more entities are portrayed as allies or cooperative partners within a fictional context or narrative.
- 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_69f349412c78819084459850e11d29f7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ce786af4819082f159abf7bef62c |
completed | May 3, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:17 a.m.