Triple
T875738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Global Vaccine Action Plan |
E18912
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | GVAP |
E104006
|
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: GVAP | Statement: [Global Vaccine Action Plan, abbreviation, GVAP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GVAP Context triple: [Global Vaccine Action Plan, abbreviation, GVAP]
-
A.
GVAP
chosen
GVAP is a comprehensive global framework developed to improve access to vaccines, strengthen immunization systems, and reduce vaccine-preventable diseases worldwide.
-
B.
GAC
The GAC is a committee within the Internet Corporation for Assigned Names and Numbers (ICANN) that provides governments and intergovernmental organizations with a formal voice in global internet governance and policy development.
-
C.
GAU
GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
-
D.
GAW
GAW is a World Meteorological Organization program that coordinates global observations and analysis of atmospheric composition and related environmental changes.
-
E.
GVB
GVB is Amsterdam’s primary public transport company, operating the city’s trams, buses, metro, and ferries.
- 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4acae12948190923d31966c26a130 |
completed | March 1, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c01d1a7081909da3d8b2aadaed6f |
completed | March 4, 2026, 5:16 a.m. |
Created at: March 1, 2026, 7:39 p.m.