Triple
T7296552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Internet search |
E164535
|
entity |
| Predicate | commonProviders |
P17473
|
FINISHED |
| Object | Yahoo Search |
E95197
|
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: Yahoo Search | Statement: [Internet search, commonProviders, Yahoo Search]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yahoo Search Context triple: [Internet search, commonProviders, Yahoo Search]
-
A.
Yahoo! Search
chosen
Yahoo! Search is a web search engine developed by Yahoo that was once one of the most popular gateways for finding information on the internet.
-
B.
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.
-
C.
Qwant
Qwant is a French privacy-focused search engine that emphasizes user anonymity and does not track or profile its users.
-
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.
Google Search
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.
- 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_69c6887a499881909dd23341399c59d8 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6f041f4a88190b85cff1ee5f9a6d0 |
completed | March 27, 2026, 9:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e547c7b88190b792495efb3a215c |
completed | March 28, 2026, 2:27 p.m. |
Created at: March 27, 2026, 3 p.m.