Triple
T132516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Telecommunication Union |
E2682
|
entity |
| Predicate | becameUNSpecializedAgency |
P1049
|
FINISHED |
| Object | 1947 |
—
|
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: 1947 | Statement: [International Telecommunication Union, becameUNSpecializedAgency, 1947]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: becameUNSpecializedAgency Context triple: [International Telecommunication Union, becameUNSpecializedAgency, 1947]
-
A.
hasSpecializedAgency
Indicates that one entity possesses or is supported by an agency that is specialized in handling a particular domain, function, or set of tasks on its behalf.
-
B.
becameUNRelatedOrganization
Indicates that an entity transitioned into having the formal status of a United Nations–related organization.
-
C.
hasUNOrgan
Indicates that an entity is a member of, affiliated with, or otherwise formally associated with a specified United Nations body or organ.
-
D.
UNRegion
Indicates that an entity belongs to, or is associated with, a specific United Nations–defined geographic region.
-
E.
hasUNStatus
chosen
Indicates that an entity holds a particular formal status or recognition within the United Nations system.
- 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a25855baf48190a1b63f2e5865d957 |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a2564edb488190974dc00eb9ac37d9 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.