Triple
T24880817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RZO |
E622702
|
entity |
| Predicate | predecessorDesignatorOf |
P123192
|
FINISHED |
| Object | SATA International |
—
|
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: SATA International | Statement: [RZO, predecessorDesignatorOf, SATA International]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorDesignatorOf Context triple: [RZO, predecessorDesignatorOf, SATA International]
-
A.
predecessorDesign
chosen
Indicates that one design serves as the predecessor or earlier version in relation to another design.
-
B.
predecessor
Indicates that one entity comes before another in an ordered sequence or succession.
-
C.
predecessorOperator
Indicates that one operator precedes another in an ordered sequence or process.
-
D.
predecessorRelationship
Indicates that one entity comes before another in an ordered sequence, chain, or lineage, serving as its prior or earlier counterpart.
-
E.
predecessorStateOf
Indicates that one state occurs immediately before and leads into another state in a sequence or process.
- 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_69e2fac4aa848190b3446a3922cec150 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
Created at: April 18, 2026, 5:24 a.m.