Triple
T26813426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aho–Corasick algorithm |
E672058
|
entity |
| Predicate | originalTitleOfPaper |
P168550
|
FINISHED |
| Object | Efficient string matching: an aid to bibliographic search |
—
|
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: Efficient string matching: an aid to bibliographic search | Statement: [Aho–Corasick algorithm, originalTitleOfPaper, Efficient string matching: an aid to bibliographic search]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalTitleOfPaper Context triple: [Aho–Corasick algorithm, originalTitleOfPaper, Efficient string matching: an aid to bibliographic search]
-
A.
originalTitleOfWork
Indicates that one work is the original title under which another work was first created, published, or released.
-
B.
hasOriginalPaperTitle
chosen
Indicates that an entity (such as a publication or work) is associated with the title it originally had when first created or published.
-
C.
originalTitleName
Indicates that one entity is the original or primary title name associated with another entity.
-
D.
originalTitleAuthorName
Indicates that the associated name is the author of the work’s original title.
-
E.
originallyTitleOf
Indicates that one title is the original title from which another work, edition, or localized title is derived.
- 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_69eeb3225a3c8190aaf6746efeded2f3 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69fd44474ed48190ac372e4c88d762ed |
completed | May 8, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69fd41ef28a48190a66959be5c964461 |
completed | May 8, 2026, 1:52 a.m. |
Created at: April 27, 2026, 4:30 a.m.