Triple
T3426963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google Search |
E72248
|
entity |
| Predicate | competesWith |
P1375
|
FINISHED |
| Object | Bing |
E56719
|
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: Bing | Statement: [Google Search, competesWith, Bing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bing Context triple: [Google Search, competesWith, Bing]
-
A.
Bing
chosen
Bing is Microsoft's web search engine that provides internet search, image, video, and mapping services.
-
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.
DuckDuckGo
DuckDuckGo is a privacy-focused internet search engine that emphasizes not tracking users or personalizing search results based on their data.
-
D.
Cốc Cốc
Cốc Cốc is a Vietnamese web browser and search engine tailored to local users, offering features like improved downloading, integrated ad-blocking, and support for Vietnamese language and services.
-
E.
Baidu
Baidu is a leading Chinese technology company best known for its dominant search engine and extensive work in artificial intelligence.
- 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb982792c8190b1163eee4252210f |
completed | March 8, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b35478448481908e1c0f717d99f992 |
completed | March 13, 2026, 12:04 a.m. |
Created at: March 8, 2026, 3:15 p.m.