Triple
T8143085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akademos |
E190141
|
entity |
| Predicate | consequenceOfAction |
P812
|
FINISHED |
| Object | Athens spared from destruction by the Dioscuri |
—
|
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: Athens spared from destruction by the Dioscuri | Statement: [Akademos, consequenceOfAction, Athens spared from destruction by the Dioscuri]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consequenceOfAction Context triple: [Akademos, consequenceOfAction, Athens spared from destruction by the Dioscuri]
-
A.
hasConsequence
chosen
Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
-
B.
narrativeConsequence
Indicates that one event, action, or state occurs as a direct result or outcome of another within a narrative sequence.
-
C.
announcedConsequence
Indicates that one entity has publicly stated or declared a specific outcome or consequence that will result from an action, event, or condition.
-
D.
consequenceOfDestruction
Indicates that one event, state, or condition occurs as a direct result of a prior act of destruction.
-
E.
causeOfAction
Indicates that one entity is the reason or basis for initiating a legal action or lawsuit against another entity.
- 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_69ca82bd9900819099477cdc2eb4244f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4444bb248190beaaa2ce4b8f3eaa |
completed | March 31, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69cb369c0d0481908762c488d7f77e74 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:36 p.m.