Triple
T34983534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Statutory Sick Pay |
E1008879
|
entity |
| Predicate | languageOfOfficialGuidance |
P17538
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Statutory Sick Pay, languageOfOfficialGuidance, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfOfficialGuidance Context triple: [Statutory Sick Pay, languageOfOfficialGuidance, English]
-
A.
languageOfOfficialGuides
chosen
Indicates the language in which official guides or instructional materials are provided or published.
-
B.
languageOfOfficialReports
Indicates the language in which an entity’s official reports are written or issued.
-
C.
languageOfOfficialAnnouncements
Indicates the language used for formal or official public announcements issued by an authority.
-
D.
officialLanguage
Indicates that a particular language has been formally designated by an authority as the official language used for government, legal, or administrative purposes in a given jurisdiction.
-
E.
governingLanguage
Indicates the language that holds official or authoritative status over a given entity, such as a region, organization, or document.
- 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_69f76dc844a48190881951fffb83d17e |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a00a22e32f481909b6006c5b1cdefd3 |
completed | May 10, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_6a00a1bd9c908190b4aa17a61f48126f |
completed | May 10, 2026, 3:18 p.m. |
Created at: May 3, 2026, 4:01 p.m.