Triple
T14333803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EPSC |
E355418
|
entity |
| Predicate | usesAcronym |
P43
|
FINISHED |
| Object | EPSC |
E355418
|
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: EPSC | Statement: [EPSC, usesAcronym, EPSC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EPSC Context triple: [EPSC, usesAcronym, EPSC]
-
A.
EPSC
chosen
EPSC is the commonly used acronym for the Office of Economic Policy and Summit Coordination within the Bureau of Western Hemisphere Affairs of the U.S. Department of State.
-
B.
EPSC
EPSC is the ICAO airport code assigned to Szczecin-Goleniów Airport in Poland.
-
C.
ESDP
ESDP is the former framework of the European Union for developing common defense and crisis-management capabilities, later succeeded by the Common Security and Defence Policy (CSDP).
-
D.
EPS
EPS is the abbreviation for UC Berkeley’s Department of Earth and Planetary Science, which focuses on research and education in geology, geophysics, and planetary sciences.
-
E.
EAPS
EAPS is an academic department focused on the study and research of Earth, its atmosphere, and other planetary bodies.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c20d2148190bb534bef338e871d |
completed | April 14, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd469634688190980df59ee482b792 |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:13 a.m.