Triple
T23332959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Data Retention and Investigatory Powers Act 2014 |
E591494
|
entity |
| Predicate | affectedStakeholders |
P1553
|
FINISHED |
| Object | telecommunications service providers |
—
|
LITERAL 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: telecommunications service providers | Statement: [Data Retention and Investigatory Powers Act 2014, affectedStakeholders, telecommunications service providers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affectedStakeholders Context triple: [Data Retention and Investigatory Powers Act 2014, affectedStakeholders, telecommunications service providers]
-
A.
affectedCompany
Indicates that a company is impacted or influenced by a particular event, action, or entity.
-
B.
affectedPeople
Indicates the people who are impacted or influenced by a particular event, action, or condition.
-
C.
affectedPerson
Indicates that a particular person is impacted or influenced by an event, action, or condition.
-
D.
hasStakeholder
chosen
Indicates that an entity is a stakeholder of another entity, typically having an interest, involvement, or influence in its activities or outcomes.
-
E.
standAffected
Indicates that an entity is in a state or position of being impacted or influenced by another entity or event.
- F. None of above.
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_69e25d20156c81908c5c53195bd9c738 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197eecc5c81908089eb43bc701196 |
completed | April 29, 2026, 5:32 a.m. |
| PD | Predicate disambiguation | batch_69effcf8ca2c8190887d4f4656617d21 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 17, 2026, 5:15 p.m.