Triple
T3196686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PageRank |
E66951
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Google search engine |
E72248
|
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 search engine | Statement: [PageRank, usedBy, Google search engine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Google search engine Context triple: [PageRank, usedBy, Google search engine]
-
A.
Google Search
chosen
Google Search is a widely used web search engine developed by Google that allows users to find information, websites, images, and other content across the internet.
-
B.
Goole
Goole is an inland port town in the East Riding of Yorkshire, England, known for its significant docks and role in regional maritime trade.
-
C.
Google
Google is a multinational technology company best known for its search engine and wide range of internet-related products and services, including Android, YouTube, and cloud computing.
-
D.
Ask Jeeves (search engine brand name)
Ask Jeeves was an early web search engine brand best known for its question‑and‑answer style interface featuring a virtual butler character.
-
E.
Internet search
Internet search is the process of using specialized software and algorithms to locate relevant information across the World Wide Web based on user queries.
- 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_69ad8588ba18819086a10951c32ecb80 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada7177b488190b7a1b40ff3fae15f |
completed | March 8, 2026, 4:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24bb2c9908190b3abc395537e22ac |
completed | March 12, 2026, 5:14 a.m. |
Created at: March 8, 2026, 3:07 p.m.