Triple
T21941711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PEO M&S |
E541838
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | PEO M&S |
—
|
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: PEO M&S | Statement: [PEO M&S, abbreviation, PEO M&S]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PEO M&S Context triple: [PEO M&S, abbreviation, PEO M&S]
-
A.
PEO M&S
chosen
PEO M&S is a U.S. Army acquisition organization responsible for developing, procuring, and sustaining missile and space systems to support national defense.
-
B.
PEO
PEO is the trade union federation historically aligned with the left-wing AKEL party in Cyprus, representing workers’ interests and labor rights.
-
C.
PM&C
PM&C is the central Australian Government department that supports the Prime Minister, Cabinet, and executive decision‑making across national policy and governance.
-
D.
MCoE
MCoE is the U.S. Army’s primary training and doctrine center for maneuver forces, integrating infantry, armor, and related capabilities at Fort Moore, Georgia.
-
E.
PMO
PMO is the IATA airport code for Falcone–Borsellino Airport serving Palermo, Sicily, Italy.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12422245c8190af128b29e2d9c1fc |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:56 p.m.