Triple
T22029173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Statute Law Database |
E544040
|
entity |
| Predicate | typeOfWebsite |
P15047
|
FINISHED |
| Object | government information portal |
—
|
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: government information portal | Statement: [Statute Law Database, typeOfWebsite, government information portal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfWebsite Context triple: [Statute Law Database, typeOfWebsite, government information portal]
-
A.
typeOfSite
chosen
Indicates the specific category or kind of site that an entity is classified as.
-
B.
typeSite
Indicates that a site is classified as being of a particular type or category.
-
C.
webType
Indicates the classification or category of a web resource or web-related entity (such as its type, role, or format) within a given context.
-
D.
website
Indicates that one entity is the official website or web presence associated with another entity.
-
E.
siteTypeServed
Indicates the type of site or location that is served, supported, or handled by a given entity or resource.
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127ebf6d48190b84e7a45bbf9049c |
completed | April 28, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69e6f63b0d048190b241622759aab9de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:24 p.m.