Triple
T19804878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ARCENT |
E475782
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | ARCENT |
—
|
NE NERFINISHED |
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: ARCENT | Statement: [ARCENT, hasAbbreviation, ARCENT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ARCENT Context triple: [ARCENT, hasAbbreviation, ARCENT]
-
A.
ARCENT
chosen
ARCENT is the acronym for United States Army Central, the Army service component command of U.S. Central Command responsible for land operations in the CENTCOM area of responsibility.
-
B.
Argotec
Argotec is an Italian aerospace engineering company specializing in the design and development of small satellites and space systems for scientific and commercial missions.
-
C.
ASRC
ASRC is the on-campus athletic and events arena that serves as the primary basketball venue for West Liberty University.
-
D.
Arcop
Arcop was a prominent Canadian architectural firm known for its modernist designs and major cultural and institutional projects across Canada.
-
E.
ARCE
ARCE is a scholarly organization dedicated to supporting and advancing research, conservation, and education related to Egypt’s history and cultural heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65427546c819082c8eb0d63e3f5fe |
completed | April 20, 2026, 4:28 p.m. |
Created at: April 10, 2026, 1:49 p.m.