Triple
T7807805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Nations Year for Tolerance |
E180599
|
entity |
| Predicate | keyDocumentAdoptedInYear |
P1362
|
FINISHED |
| Object | 1995 |
—
|
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: 1995 | Statement: [United Nations Year for Tolerance, keyDocumentAdoptedInYear, 1995]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyDocumentAdoptedInYear Context triple: [United Nations Year for Tolerance, keyDocumentAdoptedInYear, 1995]
-
A.
officialAdoptionYear
chosen
Indicates the year in which something (such as a policy, standard, symbol, or practice) was formally adopted or officially put into use.
-
B.
dateAdopted
Indicates the date on which something (such as a policy, standard, or item) was formally accepted or put into official use.
-
C.
accessionYear
Indicates the calendar year in which an item, record, or entity was formally added to or registered within a collection, system, or institution.
-
D.
articulatedInDocumentYear
Indicates that something is expressed, stated, or formally presented in a document created or associated with a specific year.
-
E.
successorAdoptionYear
Indicates the year in which a successor entity formally adopted or took over from its predecessor.
- 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_69ca827f6f148190beca4e245b993506 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf78a6d88819093f83528fe88b182 |
completed | March 30, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69cae91687788190af9cb7aaa996d291 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:36 p.m.