Triple
T2742639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marine Raider Training Center |
E60786
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
MRTC
MRTC is the Marine Raider Training Center, the primary U.S. Marine Corps Special Operations Command facility responsible for training and preparing Marine Raiders for special operations missions.
|
E295302
|
NE FINISHED |
How this triple was built (4 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: MRTC | Statement: [Marine Raider Training Center, hasAbbreviation, MRTC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MRTC Context triple: [Marine Raider Training Center, hasAbbreviation, MRTC]
-
A.
MCRC
MCRC is the United States Marine Corps Recruiting Command responsible for enlisting and accessing new Marines into the Corps.
-
B.
MRC
MRC is an American independent film and television studio known for producing and financing a wide range of acclaimed movies and TV series.
-
C.
MRC
MRC is a major UK organization that funds and supports medical research to improve human health.
-
D.
MRT
MRT is the three-letter ISO 3166-1 alpha-3 country code assigned to Mauritania.
-
E.
RTM
RTM is the commonly used abbreviation for Rosetta Terminology Mapping, a system for standardizing and aligning terminology across different datasets or domains.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MRTC Triple: [Marine Raider Training Center, hasAbbreviation, MRTC]
Generated description
MRTC is the Marine Raider Training Center, the primary U.S. Marine Corps Special Operations Command facility responsible for training and preparing Marine Raiders for special operations missions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MRTC Target entity description: MRTC is the Marine Raider Training Center, the primary U.S. Marine Corps Special Operations Command facility responsible for training and preparing Marine Raiders for special operations missions.
-
A.
MCRC
MCRC is the United States Marine Corps Recruiting Command responsible for enlisting and accessing new Marines into the Corps.
-
B.
MRC
MRC is an American independent film and television studio known for producing and financing a wide range of acclaimed movies and TV series.
-
C.
MRC
MRC is a major UK organization that funds and supports medical research to improve human health.
-
D.
MRT
MRT is the three-letter ISO 3166-1 alpha-3 country code assigned to Mauritania.
-
E.
RTM
RTM is the commonly used abbreviation for Rosetta Terminology Mapping, a system for standardizing and aligning terminology across different datasets or domains.
- F. None of above. chosen
Provenance (5 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_69ab4b77febc819095603eb012cd141b |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb314410819095d4822f9277e6ff |
completed | March 7, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbcca19881908b2e2eb0478c3e45 |
completed | March 10, 2026, 6:35 a.m. |
| NEDg | Description generation | batch_69afbc758cc48190a96f80a850316ce3 |
completed | March 10, 2026, 6:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afbd7be9088190a19bed27249e95c4 |
completed | March 10, 2026, 6:43 a.m. |
Created at: March 6, 2026, 9:56 p.m.