Triple
T1049877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ADS |
E22669
|
entity |
| Predicate | tradedAs |
P2822
|
FINISHED |
| Object | ADS.DE |
E22669
|
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: ADS.DE | Statement: [ADS, tradedAs, ADS.DE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ADS.DE Context triple: [ADS, tradedAs, ADS.DE]
-
A.
ADS
chosen
ADS is the stock ticker symbol under which the global sportswear company Adidas is traded on the Frankfurt Stock Exchange.
-
B.
.ad
.ad is the country code top-level domain (ccTLD) assigned to the Principality of Andorra for use in internet addresses.
-
C.
Google Ads
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.
-
D.
Google AdSense
Google AdSense is an online advertising program that enables website owners and content creators to earn revenue by displaying targeted ads provided by Google on their digital properties.
-
E.
AD
AD is a CERN facility that slows down antiprotons so they can be used in precision experiments studying antimatter.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8b2c6208190b6fdf3e93b1b1d04 |
completed | March 1, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bcd3a4481908f7d9f13e3697fa9 |
completed | March 7, 2026, 2:53 p.m. |
Created at: March 1, 2026, 7:42 p.m.