Triple
T12559150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victory Through Logistics |
E295294
|
entity |
| Predicate | hasAbbreviationContext |
P43
|
FINISHED |
| Object | 1st MLG |
E295293
|
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: 1st MLG | Statement: [Victory Through Logistics, hasAbbreviationContext, 1st MLG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 1st MLG Context triple: [Victory Through Logistics, hasAbbreviationContext, 1st MLG]
-
A.
1st MLG
chosen
1st MLG is a major logistics formation of the United States Marine Corps responsible for providing comprehensive combat service support to Marine Air-Ground Task Forces.
-
B.
3rd MLG
3rd MLG is a United States Marine Corps logistics unit that provides supply, maintenance, transportation, and support services to Marine forces, primarily in the Asia-Pacific region.
-
C.
2nd MLG
2nd MLG is a United States Marine Corps logistics formation that provides combat service support, including supply, maintenance, transportation, and health services, to Marine forces.
-
D.
4th MLG
4th MLG is a United States Marine Corps Reserve logistics formation responsible for providing combat service support to Marine forces.
-
E.
MLG
MLG is the IATA airport code for Abdul Rachman Saleh Airport serving the Malang area in East Java, Indonesia.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95491d9688190a6b88a939124233e |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6558b307c81909ec5407af013de1d |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 11:48 p.m.