Triple
T4425476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Overture Services |
E95196
|
entity |
| Predicate | integratedInto |
P77
|
FINISHED |
| Object | Yahoo! Search Marketing |
E73311
|
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 Marketing | Statement: [Overture Services, integratedInto, Yahoo! Search Marketing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yahoo! Search Marketing Context triple: [Overture Services, integratedInto, Yahoo! Search Marketing]
-
A.
Yahoo! Search
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.
Yahoo
Yahoo is a pioneering web services company best known for its web portal, search engine, email service, and online media offerings.
-
C.
Yandex Search
Yandex Search is a Russian-developed web search engine that powers Yandex’s ecosystem of online services and tools.
-
D.
Google Ads
chosen
Google Ads is Google's online advertising platform that enables businesses to create and display targeted ads across Google Search, YouTube, and a vast network of partner websites and apps.
-
E.
Lycos
Lycos is an early web search engine and internet portal that was popular in the 1990s alongside rivals like AltaVista and Yahoo.
- 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_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3554e40ec8190982acc0948da2f42 |
completed | March 13, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f633a69c8190b062c2a78b0f8319 |
completed | March 14, 2026, 11:58 p.m. |
Created at: March 12, 2026, 11:30 p.m.