Triple
T8891164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VACM |
E211677
|
entity |
| Predicate | compatibleWith |
P203
|
FINISHED |
| Object | USM |
E189499
|
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: USM | Statement: [VACM, compatibleWith, USM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: USM Context triple: [VACM, compatibleWith, USM]
-
A.
USM
USM is the stock ticker symbol for United States Cellular Corporation, a regional wireless telecommunications provider in the United States.
-
B.
USM
USM is the abbreviation for the U.S. Department of State’s Under Secretary for Management, the senior official overseeing the department’s administrative, budgetary, and logistical functions.
-
C.
USM
chosen
USM (User-based Security Model) is the SNMPv3 security framework that provides user-level authentication, privacy (encryption), and access control for Simple Network Management Protocol communications.
-
D.
USM
USM is a public research university located in Hattiesburg, Mississippi, known for its programs in the arts, sciences, and education.
-
E.
USM
USM is the IATA airport code for Samui International Airport serving Ko Samui in Thailand.
- 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_69ca83907954819096d52a245b635841 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61ba33c48190a657fc4147a326c0 |
completed | April 1, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfabf01d048190bed52b5b001d7ffa |
completed | April 3, 2026, noon |
Created at: March 30, 2026, 6:54 p.m.