Triple
T9230436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TNK-BP |
E221801
|
entity |
| Predicate | stockExchangeListing |
P524
|
FINISHED |
| Object |
RTS
RTS is a major Russian securities exchange that facilitates trading in stocks, bonds, and other financial instruments.
|
E786978
|
NE FINISHED |
How this triple was built (4 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: RTS | Statement: [TNK-BP, stockExchangeListing, RTS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RTS Context triple: [TNK-BP, stockExchangeListing, RTS]
-
A.
RTS
RTS is the Swiss public broadcasting organization that provides French-language radio, television, and digital media services.
-
B.
RTSI
RTSI is the commonly used abbreviation for the RTS Index, a benchmark stock market index tracking major companies listed on the Moscow Exchange.
-
C.
RTM
RTM is the commonly used abbreviation for Rosetta Terminology Mapping, a system for standardizing and aligning terminology across different datasets or domains.
-
D.
RTM
RTM is the IATA airport code for Rotterdam The Hague Airport, a regional international airport serving the Rotterdam–The Hague metropolitan area in the Netherlands.
-
E.
SRT
SRT is a high-performance trim level of Jeep vehicles, featuring upgraded powertrains, sport-tuned components, and enhanced styling.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: RTS Triple: [TNK-BP, stockExchangeListing, RTS]
Generated description
RTS is a major Russian securities exchange that facilitates trading in stocks, bonds, and other financial instruments.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RTS Target entity description: RTS is a major Russian securities exchange that facilitates trading in stocks, bonds, and other financial instruments.
-
A.
RTS
RTS is the Swiss public broadcasting organization that provides French-language radio, television, and digital media services.
-
B.
RTSI
RTSI is the commonly used abbreviation for the RTS Index, a benchmark stock market index tracking major companies listed on the Moscow Exchange.
-
C.
RTM
RTM is the commonly used abbreviation for Rosetta Terminology Mapping, a system for standardizing and aligning terminology across different datasets or domains.
-
D.
RTM
RTM is the IATA airport code for Rotterdam The Hague Airport, a regional international airport serving the Rotterdam–The Hague metropolitan area in the Netherlands.
-
E.
SRT
SRT is a high-performance trim level of Jeep vehicles, featuring upgraded powertrains, sport-tuned components, and enhanced styling.
- F. None of above. chosen
Provenance (5 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_69ca83ed628c8190bc02d641e57f097f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccee17a2dc8190b373f78be7247f0d |
completed | April 1, 2026, 10:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d077a789f0819087d7f7612bbeaf6a |
completed | April 4, 2026, 2:29 a.m. |
| NEDg | Description generation | batch_69d07a23205881909d96450759016e94 |
completed | April 4, 2026, 2:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d07aaf06a08190b721e4b3f5a65c29 |
completed | April 4, 2026, 2:42 a.m. |
Created at: March 30, 2026, 7:29 p.m.