Triple
T14401153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ratatoskr |
E357071
|
entity |
| Predicate | treeSectionTraversed |
P114098
|
FINISHED |
| Object | from crown to roots |
—
|
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: from crown to roots | Statement: [Ratatoskr, treeSectionTraversed, from crown to roots]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treeSectionTraversed Context triple: [Ratatoskr, treeSectionTraversed, from crown to roots]
-
A.
sectionOpened
Indicates that a particular section has been opened or expanded, making its contents visible or active.
-
B.
formerTraversal
Indicates that one entity previously traversed, passed through, or traveled along another entity, but is no longer doing so.
-
C.
traversesDepartment
Indicates that an entity moves through or passes across the area or domain of a specific department.
-
D.
coveredSectionsLocation
Indicates the specific location or area where the covered sections are situated or applied.
-
E.
locationOfTypeSection
Indicates that a particular location is designated as the section or area associated with a specific type or category.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de908500048190bb6a20fe318d5c62 |
completed | April 14, 2026, 7:07 p.m. |
| PD | Predicate disambiguation | batch_69de2aa024c48190805df6a9d63deb10 |
completed | April 14, 2026, 11:53 a.m. |
| PDg | Predicate description generation | batch_69de2e08b6c08190bb4c929deab236a6 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 10, 2026, 1:17 a.m.