Triple
T3173435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris Métro Line 6 |
E66406
|
entity |
| Predicate | servesStation |
P839
|
FINISHED |
| Object |
Nationale
Nationale is a Paris Métro station in the 13th arrondissement, located on Line 6 near Place d’Italie.
|
E333067
|
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: Nationale | Statement: [Paris Métro Line 6, servesStation, Nationale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nationale Context triple: [Paris Métro Line 6, servesStation, Nationale]
-
A.
Nationale
Nationale is a French national-level rugby union competition that forms part of the country’s professional and semi-professional league structure.
-
B.
Nacional
Nacional is a character in the 1922 silent drama film "Blood and Sand," which centers on the rise and fall of a celebrated Spanish bullfighter.
-
C.
Nacional
Nacional is a news section of the Colombian newspaper El Espectador that focuses on national-level events and issues.
-
D.
National
National is a major centre-right political party in New Zealand, formally known as the New Zealand National Party.
-
E.
Nation
Nation is a major public square and transportation hub in eastern Paris, France, known for its large roundabout, prominent monuments, and busy metro and RER interchange.
- 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: Nationale Triple: [Paris Métro Line 6, servesStation, Nationale]
Generated description
Nationale is a Paris Métro station in the 13th arrondissement, located on Line 6 near Place d’Italie.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nationale Target entity description: Nationale is a Paris Métro station in the 13th arrondissement, located on Line 6 near Place d’Italie.
-
A.
Nationale
Nationale is a French national-level rugby union competition that forms part of the country’s professional and semi-professional league structure.
-
B.
Nacional
Nacional is a character in the 1922 silent drama film "Blood and Sand," which centers on the rise and fall of a celebrated Spanish bullfighter.
-
C.
Nacional
Nacional is a news section of the Colombian newspaper El Espectador that focuses on national-level events and issues.
-
D.
National
National is a major centre-right political party in New Zealand, formally known as the New Zealand National Party.
-
E.
Nation
Nation is a major public square and transportation hub in eastern Paris, France, known for its large roundabout, prominent monuments, and busy metro and RER interchange.
- 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_69ad8586a34c8190944c63ec11a8de1a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada66facf881908b9ec687d68ce91b |
completed | March 8, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b235edf7708190b79605a05baf1711 |
completed | March 12, 2026, 3:41 a.m. |
| NEDg | Description generation | batch_69b236e61ae88190a76b942c6cddff41 |
completed | March 12, 2026, 3:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b23770ed4c8190b5d929cc95a286a0 |
completed | March 12, 2026, 3:48 a.m. |
Created at: March 8, 2026, 3:06 p.m.