Triple
T9021638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CMI |
E215737
|
entity |
| Predicate | hasFAAIdentifier |
P420
|
FINISHED |
| Object | CMI |
E215737
|
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: CMI | Statement: [CMI, hasFAAIdentifier, CMI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CMI Context triple: [CMI, hasFAAIdentifier, CMI]
-
A.
CMI
chosen
CMI is the three-letter IATA airport code for University of Illinois Willard Airport, serving the Champaign–Urbana area in Illinois, USA.
-
B.
NCMI
NCMI is a U.S. Defense Department intelligence organization that collects and analyzes global medical and health-related information to support military and national security decision-making.
-
C.
CAMI
CAMI is the abbreviated name for the Council of Arab Ministers of Interior, a regional body coordinating interior and security policies among Arab states.
-
D.
CSM
CSM is a renowned London art and design college known for its influential fashion, fine art, and creative industries programs.
-
E.
CSM
CSM is the common abbreviation for C.S. Marítimo, a professional football club based in Funchal, Madeira, Portugal.
- 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_69ca83a38aa88190bf1bb80c4548b5e2 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a43add08190983b7ac88576fd7e |
completed | April 1, 2026, 12:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdbb92ffc81909de907f2bb64dd58 |
completed | April 3, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:07 p.m.