Triple
T11414501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MCSF-NOLA |
E270454
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | MCSF-NOLA |
E270454
|
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: MCSF-NOLA | Statement: [MCSF-NOLA, abbreviation, MCSF-NOLA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MCSF-NOLA Context triple: [MCSF-NOLA, abbreviation, MCSF-NOLA]
-
A.
MCSF-NOLA
chosen
MCSF-NOLA is a U.S. Marine Corps installation in New Orleans that serves as a major support and administrative hub for Marine forces in the region.
-
B.
MCSF New Orleans
MCSF New Orleans is a U.S. Marine Corps installation in New Orleans that serves as a major administrative and support hub for Marine Corps operations and commands.
-
C.
Count of Nola
Count of Nola was a medieval noble title associated with the town of Nola in southern Italy, historically held by members of prominent European aristocratic families.
-
D.
MCO
MCO is the stock ticker symbol for Moody's Corporation, a leading global provider of credit ratings, research, and risk analysis.
-
E.
MCO
MCO is the National Rail station code used to identify Oxford Road railway station in Manchester, England.
- 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d801ae47d0819098123505309c4a68 |
completed | April 9, 2026, 7:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b86936348190b8fa4125995c2a85 |
completed | April 20, 2026, 5:23 a.m. |
Created at: April 8, 2026, 9:34 p.m.