Triple
T1967650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Climate Programme |
E42725
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | WCP |
E42725
|
NE 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: WCP | Statement: [World Climate Programme, abbreviation, WCP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WCP Context triple: [World Climate Programme, abbreviation, WCP]
-
A.
WCP
chosen
WCP is the abbreviation for the World Climate Programme, an international initiative focused on understanding and addressing global climate variability and change.
-
B.
WPK
WPK is the ruling communist party of North Korea that dominates the country’s political system and state ideology.
-
C.
W3
W3 is a common shorthand for the World Wide Web, the global system of interlinked hypertext documents and resources accessed via the internet.
-
D.
NWC
NWC is the commonly used abbreviation for Northwestern College, a Christian liberal arts institution located in Orange City, Iowa.
-
E.
WU
WU is a leading European university in Vienna specializing in economics, business, and social sciences.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a88711151c8190940b2572095059d7 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3cf15048190a51f73ed85e1b958 |
completed | March 7, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbd777608190b86d6edc68ff5d9b |
completed | March 8, 2026, 10:44 p.m. |
Created at: March 4, 2026, 7:36 p.m.