Triple
T9288818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disclosure Guidance and Transparency Rules |
E223464
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
DTR
DTR is the commonly used abbreviation for the UK’s Disclosure Guidance and Transparency Rules, which govern the disclosure and transparency obligations of issuers in UK financial markets.
|
E790457
|
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 | Statement: [Disclosure Guidance and Transparency Rules, abbreviation, DTR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DTR Context triple: [Disclosure Guidance and Transparency Rules, abbreviation, DTR]
-
A.
DRT
DRT is the public transit agency serving Ontario’s Regional Municipality of Durham with bus and specialized transit services.
-
B.
DTL
DTL is a type of linear accelerator structure that uses a series of drift tubes within an RF cavity to efficiently accelerate charged particle beams.
-
C.
DET
DET is the standard NHL abbreviation for the Detroit Red Wings professional ice hockey team.
-
D.
DT
DT is the widely used nickname for Diana Taurasi, a legendary American professional basketball player regarded as one of the greatest in WNBA history.
-
E.
DTC
DTC is the official taxi service operator in Dubai, providing metered cabs and related transport services across the city.
- 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 Triple: [Disclosure Guidance and Transparency Rules, abbreviation, DTR]
Generated description
DTR is the commonly used abbreviation for the UK’s Disclosure Guidance and Transparency Rules, which govern the disclosure and transparency obligations of issuers in UK financial markets.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DTR Target entity description: DTR is the commonly used abbreviation for the UK’s Disclosure Guidance and Transparency Rules, which govern the disclosure and transparency obligations of issuers in UK financial markets.
-
A.
DRT
DRT is the public transit agency serving Ontario’s Regional Municipality of Durham with bus and specialized transit services.
-
B.
DTL
DTL is a type of linear accelerator structure that uses a series of drift tubes within an RF cavity to efficiently accelerate charged particle beams.
-
C.
DET
DET is the standard NHL abbreviation for the Detroit Red Wings professional ice hockey team.
-
D.
DT
DT is the widely used nickname for Diana Taurasi, a legendary American professional basketball player regarded as one of the greatest in WNBA history.
-
E.
DTC
DTC is the official taxi service operator in Dubai, providing metered cabs and related transport services across the city.
- 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.