Triple
T8244634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ledge (segment of Cat's Eye) |
E192819
|
entity |
| Predicate | partOfAnthologyStructure |
P47219
|
FINISHED |
| Object | third segment |
—
|
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: third segment | Statement: [The Ledge (segment of Cat's Eye), partOfAnthologyStructure, third segment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfAnthologyStructure Context triple: [The Ledge (segment of Cat's Eye), partOfAnthologyStructure, third segment]
-
A.
partOfWorkStructure
Indicates that one work-related component, role, or task is included within or belongs to a larger organizational or work structure.
-
B.
partOfLiteraryProject
chosen
Indicates that something is a component or segment belonging to a larger literary project or work.
-
C.
hasAnthologyFormat
Indicates that an entity is presented or structured in the form of an anthology (a collection of distinct works or pieces).
-
D.
partOfLibrary
Indicates that one entity is a component, section, or item belonging to or contained within a library.
-
E.
partOfCollection
Indicates that an entity belongs to, or is included within, a larger collection or set.
- 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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb78711f5081909c2f357334491a07 |
completed | March 31, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69cb36b437e881909958591357e83b9d |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:47 p.m.