Triple
T7836122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IS-IS |
E181693
|
entity |
| Predicate | hasHierarchyLevels |
P7355
|
FINISHED |
| Object | Level 1 |
—
|
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: Level 1 | Statement: [IS-IS, hasHierarchyLevels, Level 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHierarchyLevels Context triple: [IS-IS, hasHierarchyLevels, Level 1]
-
A.
hasMultipleLevels
Indicates that something is organized into more than one hierarchical or structural level.
-
B.
hasNumberOfLevels
chosen
Indicates that an entity possesses a specified count of distinct levels or tiers.
-
C.
hasHierarchyIn
Indicates that one entity occupies a higher or lower level within an ordered structure or chain of command relative to another entity in a specified context.
-
D.
hasCategoryLevel
Indicates that something is associated with a specific hierarchical category or tier within a classification system.
-
E.
hasDivisionLevel
Indicates that one entity is associated with a specific hierarchical or organizational division level of 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_69ca8284a25c8190a1a20afad30da792 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb064cb7e081909e88419863d94dfe |
completed | March 30, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69cae91e98988190abd4ece75932c589 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:46 p.m.