Triple
T14764458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google infrastructure |
E346956
|
entity |
| Predicate | documentedIn |
P309
|
FINISHED |
| Object | Google research papers |
E46728
|
NE 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: Google research papers | Statement: [Google infrastructure, documentedIn, Google research papers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Google research papers Context triple: [Google infrastructure, documentedIn, Google research papers]
-
A.
Google Research
chosen
Google Research is the research division of Google focused on advancing the state of the art in computer science and artificial intelligence through fundamental and applied research.
-
B.
Adobe Research
Adobe Research is the research arm of Adobe that advances cutting-edge technologies in areas such as computer graphics, computer vision, machine learning, and digital media.
-
C.
Semantic Scholar
Semantic Scholar is an AI-powered academic search engine that helps researchers discover and understand scientific literature more efficiently.
-
D.
Google Scholar
Google Scholar is a freely accessible academic search engine that indexes scholarly literature across many disciplines and formats, helping researchers find articles, theses, books, conference papers, and more.
-
E.
CiteSeerX
CiteSeerX is a public digital library and search engine that focuses on indexing and providing access to scientific and academic research papers, particularly in computer and information science.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f3a1608190b1b17624003a0c7f |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cf4cef081909fa62125f43b36bc |
completed | May 8, 2026, 4:19 p.m. |
Created at: April 10, 2026, 1:30 a.m.