Triple
T31881559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forest of Cedars |
E813895
|
entity |
| Predicate | transgressedBy |
P197061
|
FINISHED |
| Object | Gilgamesh’s logging of cedars |
—
|
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: Gilgamesh’s logging of cedars | Statement: [Forest of Cedars, transgressedBy, Gilgamesh’s logging of cedars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transgressedBy Context triple: [Forest of Cedars, transgressedBy, Gilgamesh’s logging of cedars]
-
A.
hasTransgression
Indicates that one entity has committed, is responsible for, or is associated with a violation, offense, or wrongdoing in relation to another entity or rule.
-
B.
crossErectedBy
Indicates that a particular cross was constructed, installed, or set up by a specified agent or entity.
-
C.
crossedBy
Indicates that one entity (typically a path, line, or boundary) is intersected or traversed by another entity.
-
D.
crossesBorderOf
Indicates that one entity passes from one side of the boundary of another entity (typically a region or area) to the other side, traversing its border.
-
E.
breachedDuring
Indicates that one entity violated, broke, or failed to uphold another entity (such as a rule, contract, or security measure) within a specified time period or event.
- 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_69f348ed74bc81909846aaa6a3c7318c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe766490c081908c49c8cc07d0ae9b |
completed | May 8, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69fe75bb5f4481908572a5ffcbdc5154 |
completed | May 8, 2026, 11:46 p.m. |
| PDg | Predicate description generation | batch_69fe7663b5bc81909524c40d3a172512 |
completed | May 8, 2026, 11:48 p.m. |
Created at: April 30, 2026, 11:56 p.m.