Triple
T17960790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ODI |
E449074
|
entity |
| Predicate | formatLevel |
P129904
|
FINISHED |
| Object | international |
—
|
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: international | Statement: [ODI, formatLevel, international]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formatLevel Context triple: [ODI, formatLevel, international]
-
A.
formatCategory
Indicates how an item is classified or grouped according to its format or presentation type.
-
B.
formatStatus
Indicates the current state or condition of a particular format, such as whether it is valid, active, or in use.
-
C.
statusLevelColor
Indicates the color associated with a particular status level in a system or process.
-
D.
definesLevel
Indicates that one entity specifies or establishes the degree, stage, or intensity at which another entity is set or operates.
-
E.
logicalLevel
Indicates the relative position or depth of something within a hierarchy of abstraction, reasoning, or logical structure.
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b131fa8481908cd756f350eb6359 |
completed | April 19, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69e3f8f2bd088190b1e22ad4d9cc8b13 |
completed | April 18, 2026, 9:34 p.m. |
| PDg | Predicate description generation | batch_69e42d8d68288190a05dc5d7803cf823 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:22 a.m.