Triple
T29188370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C-canon (pre-2014 Lucasfilm canon hierarchy) |
E739929
|
entity |
| Predicate | hierarchyLevelCode |
P166413
|
FINISHED |
| Object | C |
—
|
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: C | Statement: [C-canon (pre-2014 Lucasfilm canon hierarchy), hierarchyLevelCode, C]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hierarchyLevelCode Context triple: [C-canon (pre-2014 Lucasfilm canon hierarchy), hierarchyLevelCode, C]
-
A.
levelInAdministrativeHierarchy
Indicates the relative position or rank of an administrative unit within a broader hierarchical administrative structure.
-
B.
regionCodeLevel
Indicates the hierarchical level or granularity associated with a given regional code within an administrative or geographic coding system.
-
C.
codificationLevel
Indicates the degree or extent to which something is formally systematized, standardized, or encoded into an explicit set of rules or structures.
-
D.
ringHierarchyLevel
Indicates the position or rank of an entity within a structured ring-based hierarchy.
-
E.
hasDivisionLevel
Indicates that one entity is associated with a specific hierarchical or organizational division level of another entity.
- 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_69f07cb8033c8190b8807e219a14333d |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f66388afe48190a68caf56c9745007 |
completed | May 2, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69f65c24f8b48190af81b575f3c15be5 |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65fb2ead08190b06677d4d6ea1ea8 |
completed | May 2, 2026, 8:33 p.m. |
Created at: April 28, 2026, 12:01 p.m.