Triple
T17862770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ezri Dax |
E446114
|
entity |
| Predicate | hasRankProgression |
P45510
|
FINISHED |
| Object | promoted from Ensign to Lieutenant junior grade |
—
|
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: promoted from Ensign to Lieutenant junior grade | Statement: [Ezri Dax, hasRankProgression, promoted from Ensign to Lieutenant junior grade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRankProgression Context triple: [Ezri Dax, hasRankProgression, promoted from Ensign to Lieutenant junior grade]
-
A.
hasProgressionSystem
Indicates that an entity includes or is associated with a structured system through which progress, advancement, or development can occur over time.
-
B.
militaryRankProgression
chosen
Indicates the sequence or advancement of an individual’s positions within a structured military rank hierarchy.
-
C.
hasRankLevels
Indicates that an entity is associated with one or more hierarchical rank levels within a ranking or grading system.
-
D.
promotedToRankBy
Indicates that an entity was elevated to a particular rank or position through the action or decision of another entity.
-
E.
hasEnlistedRank
Indicates that an individual holds an enlisted (non-officer) rank within a military or similar hierarchical organization.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e49790ea148190b7a966812d44f430 |
completed | April 19, 2026, 8:51 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e6d2e88190ad9ef9f8a99f13e6 |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:17 a.m.