Triple
T7574139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conference Proceedings Citation Index |
E179319
|
entity |
| Predicate | includesMetadata |
P5500
|
FINISHED |
| Object | authors |
—
|
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: authors | Statement: [Conference Proceedings Citation Index, includesMetadata, authors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesMetadata Context triple: [Conference Proceedings Citation Index, includesMetadata, authors]
-
A.
hasMetadata
chosen
Indicates that one entity is associated with descriptive or informational data about another entity.
-
B.
includesResponse
Indicates that one entity contains, incorporates, or encompasses another entity as a response or reply.
-
C.
includedWith
Indicates that one entity is provided or packaged together as part of another entity.
-
D.
includes
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
E.
includesSee
Indicates that one entity’s scope, content, or experience contains or encompasses the act of seeing or visual perception involving another entity.
- 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_69c69f316e50819081a271c85c06f918 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f948e1e08190ad807292365a0c27 |
completed | March 27, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69c6f4de77048190b8769e717fdcf8e7 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:51 p.m.