Triple
T360414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Insurance Act 1911 |
E7837
|
entity |
| Predicate | contributionSource |
P409
|
FINISHED |
| Object | employees |
—
|
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: employees | Statement: [National Insurance Act 1911, contributionSource, employees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contributionSource Context triple: [National Insurance Act 1911, contributionSource, employees]
-
A.
tributeTo
Indicates that one entity is created, given, or dedicated as a mark of respect, admiration, or honor toward another entity.
-
B.
tributeMethod
Indicates the means or manner by which tribute is given, delivered, or fulfilled between parties.
-
C.
source
chosen
Indicates that something originates from, is derived from, or is provided by a particular entity or location.
-
D.
contributeTo
Indicates that one entity provides support, resources, or effort that helps bring about, enhance, or maintain another entity, outcome, or state.
-
E.
fundedBy
Indicates that an entity receives financial support or resources from another entity.
- 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_69a2e7e880008190a6ad7e06e5d03007 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebccb8d88190a31f7c443a0c8566 |
completed | Feb. 28, 2026, 1:21 p.m. |
| PD | Predicate disambiguation | batch_69a2e95aeed48190b5e48865cc964938 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.