Triple
T10139413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | COMOPSLAND |
E226941
|
entity |
| Predicate | armedForcesBranch |
P253
|
FINISHED |
| Object |
Land Component
The Land Component is the Belgian Army branch responsible for the country's land-based military operations and ground forces.
|
E844263
|
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: Land Component | Statement: [COMOPSLAND, armedForcesBranch, Land Component]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Land Component Context triple: [COMOPSLAND, armedForcesBranch, Land Component]
-
A.
Land
"Land" is a poem by Seamus Heaney that reflects on the Irish landscape and rural life, blending physical detail with themes of history and identity.
-
B.
Land
Land Morrow Lindbergh is the son of aviator Charles Lindbergh and writer Anne Morrow Lindbergh.
-
C.
Land
Land is a municipality in Innlandet county, Norway, known for its rural landscapes and proximity to Randsfjorden.
-
D.
Province Lands
Province Lands is a scenic, largely undeveloped dune and woodland area at the northern tip of Cape Cod known for its beaches, trails, and protected natural habitats.
-
E.
Patria Land
Patria Land is a defense industry company specializing in the design and manufacture of armored vehicles and land-based military systems.
- 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: Land Component Triple: [COMOPSLAND, armedForcesBranch, Land Component]
Generated description
The Land Component is the Belgian Army branch responsible for the country's land-based military operations and ground forces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Land Component Target entity description: The Land Component is the Belgian Army branch responsible for the country's land-based military operations and ground forces.
-
A.
Land
"Land" is a poem by Seamus Heaney that reflects on the Irish landscape and rural life, blending physical detail with themes of history and identity.
-
B.
Land
Land Morrow Lindbergh is the son of aviator Charles Lindbergh and writer Anne Morrow Lindbergh.
-
C.
Land
Land is a municipality in Innlandet county, Norway, known for its rural landscapes and proximity to Randsfjorden.
-
D.
Province Lands
Province Lands is a scenic, largely undeveloped dune and woodland area at the northern tip of Cape Cod known for its beaches, trails, and protected natural habitats.
-
E.
Patria Land
Patria Land is a defense industry company specializing in the design and manufacture of armored vehicles and land-based military systems.
- 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_69ca8433ec308190b8b25a6fe359c34c |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cde8851844819092330e74561b7e34 |
completed | April 2, 2026, 3:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e5f8cf7481908d0caca5a245cb64 |
completed | April 5, 2026, 10:45 p.m. |
| NEDg | Description generation | batch_69d2e73fd6988190a338a9e49dc3671b |
completed | April 5, 2026, 10:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2e8c425b88190b20f1706fe3343f4 |
completed | April 5, 2026, 10:57 p.m. |
Created at: March 30, 2026, 9:06 p.m.