Triple
T12873013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 11e Régiment d’artillerie de marine |
E307895
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
11e RAMa
11e RAMa is a French Marine Artillery Regiment known for providing artillery support within the French Army’s Troupes de marine.
|
E1007508
|
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: 11e RAMa | Statement: [11e Régiment d’artillerie de marine, shortName, 11e RAMa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 11e RAMa Context triple: [11e Régiment d’artillerie de marine, shortName, 11e RAMa]
-
A.
Rama dama
Rama dama is a German drama film directed by Joseph Vilsmaier that portrays the hardships and rebuilding efforts in post-World War II Munich.
-
B.
Ramarama
Ramarama is a branch of the Tupian language family comprising several indigenous languages spoken in parts of Brazil.
-
C.
Remraam
Remraam is a large residential community in Dubai known for its mid-rise apartment buildings, family-friendly amenities, and relatively affordable living.
-
D.
Rara
Rara is a popular Afrobeats song by Nigerian singer and producer Tekno, known for its socially conscious lyrics and catchy, danceable rhythm.
-
E.
Ramo
Ramo is a shortened, informal given name commonly used as a nickname for people named Ramón.
- 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: 11e RAMa Triple: [11e Régiment d’artillerie de marine, shortName, 11e RAMa]
Generated description
11e RAMa is a French Marine Artillery Regiment known for providing artillery support within the French Army’s Troupes de marine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 11e RAMa Target entity description: 11e RAMa is a French Marine Artillery Regiment known for providing artillery support within the French Army’s Troupes de marine.
-
A.
Rama dama
Rama dama is a German drama film directed by Joseph Vilsmaier that portrays the hardships and rebuilding efforts in post-World War II Munich.
-
B.
Ramarama
Ramarama is a branch of the Tupian language family comprising several indigenous languages spoken in parts of Brazil.
-
C.
Remraam
Remraam is a large residential community in Dubai known for its mid-rise apartment buildings, family-friendly amenities, and relatively affordable living.
-
D.
Rara
Rara is a popular Afrobeats song by Nigerian singer and producer Tekno, known for its socially conscious lyrics and catchy, danceable rhythm.
-
E.
Ramo
Ramo is a shortened, informal given name commonly used as a nickname for people named Ramón.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970f87aa48190a7234424a6badef0 |
completed | April 10, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bb679f88190a1799b73c3f738b6 |
completed | May 3, 2026, 12:49 a.m. |
| NEDg | Description generation | batch_69f69fb238f08190a0c63d71bfbe4529 |
completed | May 3, 2026, 1:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a087120c81908644ed732eff4d99 |
completed | May 3, 2026, 1:10 a.m. |
Created at: April 9, 2026, 5:38 p.m.