Triple
T7388761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Webtrends |
E170446
|
entity |
| Predicate | hasFormerName |
P65
|
FINISHED |
| Object | Webtrends Corporation |
E170446
|
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: Webtrends Corporation | Statement: [Webtrends, hasFormerName, Webtrends Corporation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Webtrends Corporation Context triple: [Webtrends, hasFormerName, Webtrends Corporation]
-
A.
Webtrends
chosen
Webtrends is a digital analytics company known for providing web traffic measurement and marketing optimization solutions for websites and online campaigns.
-
B.
Alexa Internet
Alexa Internet was a web traffic analysis and ranking company best known for providing website popularity metrics and analytics services before its shutdown in 2022.
-
C.
IAB Tech Lab
IAB Tech Lab is a global industry body that develops technical standards and solutions to support and improve digital advertising.
-
D.
Omniture
Omniture was a leading web analytics and online marketing optimization company best known for its SiteCatalyst platform before being acquired by Adobe.
-
E.
Coremetrics
Coremetrics is a web analytics and digital marketing optimization company known for providing businesses with detailed insights into online customer behavior and campaign performance.
- 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_69c68a5e2c9081909e713ce866e0060a |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1f3f5f48190aabe69ba79cbcb93 |
completed | March 27, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802e71bfc8190b45eb951c0311fce |
completed | March 28, 2026, 4:33 p.m. |
Created at: March 27, 2026, 3:09 p.m.