Triple
T5027231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LVO |
E113205
|
entity |
| Predicate | denotesGrade |
P60598
|
FINISHED |
| Object | Lieutenant |
—
|
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: Lieutenant | Statement: [LVO, denotesGrade, Lieutenant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: denotesGrade Context triple: [LVO, denotesGrade, Lieutenant]
-
A.
denotesGradeLevel
Indicates that one entity specifies or assigns the educational grade level associated with another entity.
-
B.
gradeDenomination
Indicates a relationship where an item or entity is assigned a specific grade or level within an ordered scale or classification system.
-
C.
gradeNumber
Indicates the numerical grade or level assigned to an entity within an ordered grading or classification system.
-
D.
grades
Indicates that one entity evaluates and assigns a score or level of performance to another entity.
-
E.
gradeRank
Indicates the relative academic standing or position of an entity within a graded or ranked group based on performance or scores.
- 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_69bd443775e48190a646ffbfc4334723 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd738d852c8190a122354f1e1f5343 |
completed | March 20, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69bd71509e9c8190a60c1d8d04936a12 |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd724ff2b4819091351cf80d3647a1 |
completed | March 20, 2026, 4:14 p.m. |
Created at: March 20, 2026, 1:36 p.m.