Triple
T17691303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1 Assault Group Royal Marines |
E441032
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
1 AGRM
1 AGRM is a specialized Royal Marines formation focused on amphibious assault and maritime special operations within the United Kingdom’s naval forces.
|
E1282125
|
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: 1 AGRM | Statement: [1 Assault Group Royal Marines, hasAbbreviation, 1 AGRM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 1 AGRM Context triple: [1 Assault Group Royal Marines, hasAbbreviation, 1 AGRM]
-
A.
AGR
AGR is the commonly used abbreviation for the U.S. military’s Active Guard and Reserve program, which places Reserve Component members on full-time active duty to support and administer reserve units.
-
B.
AGR
AGR is the IATA airport code for Agra Airport, which serves the city of Agra in India near the Taj Mahal.
-
C.
AGR
AGR is a United Nations treaty that defines and coordinates the network of major international road routes across Europe.
-
D.
UAGRM
UAGRM is a major public university in Santa Cruz de la Sierra, Bolivia, known for its wide range of academic programs and regional influence in higher education.
-
E.
AGGM
AGGM is the ICAO airport code for Munda Airport, a regional airfield serving Munda in the Solomon Islands.
- 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: 1 AGRM Triple: [1 Assault Group Royal Marines, hasAbbreviation, 1 AGRM]
Generated description
1 AGRM is a specialized Royal Marines formation focused on amphibious assault and maritime special operations within the United Kingdom’s naval forces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 1 AGRM Target entity description: 1 AGRM is a specialized Royal Marines formation focused on amphibious assault and maritime special operations within the United Kingdom’s naval forces.
-
A.
AGR
AGR is the commonly used abbreviation for the U.S. military’s Active Guard and Reserve program, which places Reserve Component members on full-time active duty to support and administer reserve units.
-
B.
AGR
AGR is the IATA airport code for Agra Airport, which serves the city of Agra in India near the Taj Mahal.
-
C.
AGR
AGR is a United Nations treaty that defines and coordinates the network of major international road routes across Europe.
-
D.
UAGRM
UAGRM is a major public university in Santa Cruz de la Sierra, Bolivia, known for its wide range of academic programs and regional influence in higher education.
-
E.
AGGM
AGGM is the ICAO airport code for Munda Airport, a regional airfield serving Munda in the Solomon Islands.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47152306c819086d483d87348db5d |
completed | April 19, 2026, 6:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a022331e1388190b596c7867f1c5b60 |
completed | May 11, 2026, 6:42 p.m. |
| NEDg | Description generation | batch_6a022661afd88190b57c338973571cb7 |
completed | May 11, 2026, 6:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a022705b76481909f77bedfb9d5d30d |
completed | May 11, 2026, 6:59 p.m. |
Created at: April 10, 2026, 10:03 a.m.