Triple
T6834690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BibTeX |
E157419
|
entity |
| Predicate | citationKey |
P73435
|
FINISHED |
| Object | unique identifier for each entry |
—
|
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: unique identifier for each entry | Statement: [BibTeX, citationKey, unique identifier for each entry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citationKey Context triple: [BibTeX, citationKey, unique identifier for each entry]
-
A.
citationBy
Indicates that one work is cited or referenced by another work.
-
B.
citation
Indicates that one entity references, quotes, or otherwise acknowledges another entity as a source of information or authority.
-
C.
citationNote
Indicates that a note or comment provides additional information, clarification, or context about a specific citation or reference.
-
D.
citationAs
Indicates that one entity is cited or referenced in the role or capacity specified by another entity (such as a particular work, version, or context).
-
E.
citationNumber
Indicates the specific numeric identifier assigned to a citation within a document or reference list.
- 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_69c6882c53608190b99aebef079b23bd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d67936288190829fedc3729aadd8 |
completed | March 27, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69c6d09f90648190bc0a462c7d59de1b |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d623aba88190a93ec9c83508c960 |
completed | March 27, 2026, 7:10 p.m. |
Created at: March 27, 2026, 2:18 p.m.