Triple
T1850788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | April Fools' Day |
E41387
|
entity |
| Predicate | hasNoOfficialStatusIn |
P4154
|
FINISHED |
| Object | most countries |
—
|
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: most countries | Statement: [April Fools' Day, hasNoOfficialStatusIn, most countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoOfficialStatusIn Context triple: [April Fools' Day, hasNoOfficialStatusIn, most countries]
-
A.
hasInformalStatus
chosen
Indicates that an entity holds a non-official, casual, or unofficial standing or role in relation to another entity.
-
B.
notOfficialNameOf
Indicates that a given name or label is used for an entity but is not its official or formally recognized name.
-
C.
areOfficialIn
Indicates that an entity holds an official role, position, or capacity within another entity (such as an organization, institution, or jurisdiction).
-
D.
hasUNStatus
Indicates that an entity holds a particular formal status or recognition within the United Nations system.
-
E.
hasOfficial
Indicates that an entity is formally associated with, represented by, or served by a designated official or office-holder.
- 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_69a88648cd44819093303206d96d76ad |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb32d35508190bf1c487dffbecaf0 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafdca6d8819083c66f3a29fd9fd1 |
completed | March 7, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:33 p.m.