Triple
T3028181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apollo slaying Python |
E82829
|
entity |
| Predicate | consequenceForApollo |
P40708
|
FINISHED |
| Object | need for ritual purification after killing Python |
—
|
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: need for ritual purification after killing Python | Statement: [Apollo slaying Python, consequenceForApollo, need for ritual purification after killing Python]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consequenceForApollo Context triple: [Apollo slaying Python, consequenceForApollo, need for ritual purification after killing Python]
-
A.
hasConsequence
Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
-
B.
narrativeConsequence
chosen
Indicates that one event, action, or state occurs as a direct result or outcome of another within a narrative sequence.
-
C.
consequenceOfRevocation
Indicates that something occurs as a direct result of a prior revocation event or decision.
-
D.
subsequentConflict
Indicates that one conflict occurs after and is temporally subsequent to another conflict.
-
E.
militaryConsequence
Indicates a causal relationship where one event, action, or condition leads to a specific outcome or effect in the military domain (such as changes in capability, strategy, or conflict status).
- 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_69ad8b21a62881908ec5dd4fba4a187c |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9abea8f4819090554d7319778170 |
completed | March 8, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69ad961e2a408190afb1759132701305 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3 p.m.