Triple
T9115352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Augments |
E218706
|
entity |
| Predicate | inUniverseLegalStatus |
P2250
|
FINISHED |
| Object | genetic engineering banned on humans in Federation law |
—
|
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: genetic engineering banned on humans in Federation law | Statement: [Augments, inUniverseLegalStatus, genetic engineering banned on humans in Federation law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inUniverseLegalStatus Context triple: [Augments, inUniverseLegalStatus, genetic engineering banned on humans in Federation law]
-
A.
hasLegalStatus
chosen
Indicates that an entity possesses a particular legal classification, recognition, or standing under law.
-
B.
usedLegalStatus
Indicates that one entity applies or relies on the legal status or classification of another entity in a given context.
-
C.
inUniverseSocialStatus
Indicates the social rank or standing an entity holds within a specific fictional or defined universe.
-
D.
in-universeStatus
Indicates the canonical status or role that something holds within the fictional universe or narrative continuity itself.
-
E.
inUniverseRestriction
Indicates that something is limited, applicable, or valid only within a specific fictional or defined universe or continuity.
- 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8a1340881909dc791b825e87ef2 |
completed | April 1, 2026, 5:09 a.m. |
| PD | Predicate disambiguation | batch_69cc65fe5be081909d4470d6317b14a6 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:16 p.m.