Triple
T1781393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris Métro Line 4 |
E39297
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Raspail
Raspail is a Paris Métro station in the 14th arrondissement that serves as an interchange between lines 4 and 6.
|
E203757
|
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: Raspail | Statement: [Paris Métro Line 4, hasStation, Raspail]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raspail Context triple: [Paris Métro Line 4, hasStation, Raspail]
-
A.
De La Motte
De La Motte is a French-origin surname historically associated with various notable figures, including early 20th-century American silent film actress Marguerite De La Motte.
-
B.
Auguste Mercier
Auguste Mercier was a French general and Minister of War best known for his central and controversial role in the Dreyfus affair.
-
C.
Léon Marchal
Léon Marchal was a French diplomat who served as Secretary General of the Council of Europe during the early years of European postwar integration.
-
D.
Pierre Saint-Jean
Pierre Saint-Jean is a French weightlifter best known for delivering the athletes' oath at the 1976 Summer Olympics in Montreal.
-
E.
Honoré Daumet
Honoré Daumet was a prominent 19th-century French architect known for his work on major public buildings and contributions to the Beaux-Arts architectural tradition.
- 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: Raspail Triple: [Paris Métro Line 4, hasStation, Raspail]
Generated description
Raspail is a Paris Métro station in the 14th arrondissement that serves as an interchange between lines 4 and 6.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Raspail Target entity description: Raspail is a Paris Métro station in the 14th arrondissement that serves as an interchange between lines 4 and 6.
-
A.
De La Motte
De La Motte is a French-origin surname historically associated with various notable figures, including early 20th-century American silent film actress Marguerite De La Motte.
-
B.
Auguste Mercier
Auguste Mercier was a French general and Minister of War best known for his central and controversial role in the Dreyfus affair.
-
C.
Léon Marchal
Léon Marchal was a French diplomat who served as Secretary General of the Council of Europe during the early years of European postwar integration.
-
D.
Pierre Saint-Jean
Pierre Saint-Jean is a French weightlifter best known for delivering the athletes' oath at the 1976 Summer Olympics in Montreal.
-
E.
Honoré Daumet
Honoré Daumet was a prominent 19th-century French architect known for his work on major public buildings and contributions to the Beaux-Arts architectural tradition.
- 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_69a88630519c8190a17addd83c4a3ef4 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa64e22d6881909ba6ec120b320918 |
completed | March 6, 2026, 5:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adbf52266081909b7478d76664d387 |
completed | March 8, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69adc0a3fdd88190b0ffa98db1b5cf80 |
completed | March 8, 2026, 6:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adc12c894881909c9a82fc9e363a41 |
completed | March 8, 2026, 6:34 p.m. |
Created at: March 4, 2026, 7:31 p.m.