Triple
T32118599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MGySgt |
E820303
|
entity |
| Predicate | rankEstablishedBy |
P4846
|
FINISHED |
| Object | United States Congress |
—
|
NE NERFINISHED |
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: United States Congress | Statement: [MGySgt, rankEstablishedBy, United States Congress]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankEstablishedBy Context triple: [MGySgt, rankEstablishedBy, United States Congress]
-
A.
establishedRank
Indicates that a stable or officially recognized hierarchical position or level has been assigned to an entity relative to others.
-
B.
rankStatus
Indicates the hierarchical level or position an entity holds within an ordered ranking or status system.
-
C.
rankingStatus
Indicates the relative position or level an entity holds within an ordered ranking or hierarchy.
-
D.
rankingScope
Indicates the context or domain within which a ranking is defined, interpreted, or applied.
-
E.
rankedBy
chosen
Indicates that one entity is ordered or assigned a position in a hierarchy or list according to criteria determined or applied by another entity.
- 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_69f3490209c881908ec0241476715f15 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b90aa5e081908629bb2c63b2c281 |
completed | May 3, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:28 a.m.