Triple
T3141571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RER B |
E65656
|
entity |
| Predicate | usesRollingStock |
P5426
|
FINISHED |
| Object |
MI 84
MI 84 is a class of electric multiple unit trains used on the RER B commuter rail line in the Paris metropolitan area.
|
E332707
|
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: MI 84 | Statement: [RER B, usesRollingStock, MI 84]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MI 84 Context triple: [RER B, usesRollingStock, MI 84]
-
A.
MI 09
MI 09 is a modern dual-voltage electric multiple unit train used on the RER A commuter rail line in the Paris region.
-
B.
MI1
MI1 was an early British military intelligence section responsible for handling secret information and code-related work before later intelligence agencies were formally established.
-
C.
Operation MI
Operation MI was the Imperial Japanese Navy’s World War II plan to seize Midway Atoll, culminating in the pivotal Battle of Midway in June 1942.
-
D.
Miette
Miette is a brave and resourceful young orphan girl who becomes a central figure in the dark fantasy film "The City of Lost Children," helping to unravel its sinister mysteries.
-
E.
Mir
Mir was a Soviet and later Russian modular space station that served as a long-term research outpost in low Earth orbit from 1986 to 2001.
- 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: MI 84 Triple: [RER B, usesRollingStock, MI 84]
Generated description
MI 84 is a class of electric multiple unit trains used on the RER B commuter rail line in the Paris metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MI 84 Target entity description: MI 84 is a class of electric multiple unit trains used on the RER B commuter rail line in the Paris metropolitan area.
-
A.
MI 09
MI 09 is a modern dual-voltage electric multiple unit train used on the RER A commuter rail line in the Paris region.
-
B.
MI1
MI1 was an early British military intelligence section responsible for handling secret information and code-related work before later intelligence agencies were formally established.
-
C.
Operation MI
Operation MI was the Imperial Japanese Navy’s World War II plan to seize Midway Atoll, culminating in the pivotal Battle of Midway in June 1942.
-
D.
Miette
Miette is a brave and resourceful young orphan girl who becomes a central figure in the dark fantasy film "The City of Lost Children," helping to unravel its sinister mysteries.
-
E.
Mir
Mir was a Soviet and later Russian modular space station that served as a long-term research outpost in low Earth orbit from 1986 to 2001.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada57895dc8190bd3d4ef9391973dc |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224e4df38819089d0a11016a85ad8 |
completed | March 12, 2026, 2:28 a.m. |
| NEDg | Description generation | batch_69b228c1b568819088dc5ce4a15fedc2 |
completed | March 12, 2026, 2:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b22ccd34a8819089e207b6ee1f634a |
completed | March 12, 2026, 3:02 a.m. |
Created at: March 8, 2026, 3:05 p.m.