Triple
T35299647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorenz cipher |
E1019468
|
entity |
| Predicate | trafficCategoryByAllies |
P182704
|
FINISHED |
| Object | Fish traffic |
—
|
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: Fish traffic | Statement: [Lorenz cipher, trafficCategoryByAllies, Fish traffic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trafficCategoryByAllies Context triple: [Lorenz cipher, trafficCategoryByAllies, Fish traffic]
-
A.
alliesOf
Indicates that one entity is in a cooperative, supportive, or mutually beneficial alliance with another entity.
-
B.
oftenAlliedWith
Indicates that one entity is frequently or habitually allied or aligned in cooperation with another entity.
-
C.
ethnicGroupOfAllies
Indicates that the subject is an ethnic group to which the allies or supporting parties of the object belong.
-
D.
allianceType
Indicates the specific kind or category of alliance relationship that exists between entities.
-
E.
alliedAgainstBy
Indicates that the subject is opposed by an entity that has formed an alliance with others against it.
- 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_69f76de7eedc8190a3bdc64ebbc05b42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7904a770481908ef3f788e51e8dba |
completed | May 3, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69f78e2f52e08190a77661223a96c601 |
completed | May 3, 2026, 6:04 p.m. |
| PDg | Predicate description generation | batch_69f78f629d508190b755848162c4e101 |
completed | May 3, 2026, 6:09 p.m. |
Created at: May 3, 2026, 4:03 p.m.