Triple
T9288837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disclosure Guidance and Transparency Rules |
E223464
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
DTR 2
DTR 2 is a section of the UK’s Disclosure Guidance and Transparency Rules that sets out key requirements for the timely disclosure of inside information by listed companies.
|
E790460
|
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: DTR 2 | Statement: [Disclosure Guidance and Transparency Rules, contains, DTR 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DTR 2 Context triple: [Disclosure Guidance and Transparency Rules, contains, DTR 2]
-
A.
D-2
D-2 was a 1993 German-led Spacelab space shuttle mission focused on microgravity and life sciences research in low Earth orbit.
-
B.
DRT
DRT is the public transit agency serving Ontario’s Regional Municipality of Durham with bus and specialized transit services.
-
C.
D2
D2 is a line of the Moscow Central Diameters suburban rail system, providing cross-city commuter rail service through Moscow and its surrounding areas.
-
D.
D2
D2 is the internal designation for the first-generation Audi A8 luxury sedan, produced in the late 1990s and early 2000s.
-
E.
RTR
RTR is the commonly used nickname for the Recruit Training Regiment, a military unit responsible for initial training of new recruits.
- 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: DTR 2 Triple: [Disclosure Guidance and Transparency Rules, contains, DTR 2]
Generated description
DTR 2 is a section of the UK’s Disclosure Guidance and Transparency Rules that sets out key requirements for the timely disclosure of inside information by listed companies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DTR 2 Target entity description: DTR 2 is a section of the UK’s Disclosure Guidance and Transparency Rules that sets out key requirements for the timely disclosure of inside information by listed companies.
-
A.
D-2
D-2 was a 1993 German-led Spacelab space shuttle mission focused on microgravity and life sciences research in low Earth orbit.
-
B.
DRT
DRT is the public transit agency serving Ontario’s Regional Municipality of Durham with bus and specialized transit services.
-
C.
D2
D2 is a line of the Moscow Central Diameters suburban rail system, providing cross-city commuter rail service through Moscow and its surrounding areas.
-
D.
D2
D2 is the internal designation for the first-generation Audi A8 luxury sedan, produced in the late 1990s and early 2000s.
-
E.
RTR
RTR is a Swiss public broadcasting division that produces and distributes radio, television, and online content in the Romansh language.
- 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_69ca8422ddf881908a3f8f876c9f53aa |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0862b34c819097cb7c1777313925 |
completed | April 1, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b22ff5d881909ed5ac15ad8cbbb6 |
completed | April 4, 2026, 6:39 a.m. |
| NEDg | Description generation | batch_69d0b441ca5c81908d6d50f271de2a57 |
completed | April 4, 2026, 6:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0b4e909308190a2dc31fc1ec27e09 |
completed | April 4, 2026, 6:51 a.m. |
Created at: March 30, 2026, 7:35 p.m.