Triple
T14465316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Illuminations |
E358691
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Villes
Villes is a section of Arthur Rimbaud’s poetic collection "Illuminations," known for its vivid, dreamlike depictions of modern urban landscapes.
|
E1101547
|
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: Villes | Statement: [Illuminations, hasPart, Villes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villes Context triple: [Illuminations, hasPart, Villes]
-
A.
Ville
Ville is a common Finnish male given name, especially prevalent in the late 20th century.
-
B.
Cité
Cité is a Paris Métro station located on the Île de la Cité in the historic center of Paris.
-
C.
Ville Nouvelle
Ville Nouvelle is the modern European-style district of Fez, Morocco, characterized by wide boulevards, contemporary architecture, and commercial centers that contrast with the historic medina.
-
D.
Villeblevin
Villeblevin is a small commune in north-central France, best known as the place where writer Albert Camus died in a car accident.
-
E.
Ville Basse
Ville Basse is the lower, more modern part of the French city of Carcassonne, known for its shops, squares, and everyday urban life in contrast to the fortified medieval citadel.
- 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: Villes Triple: [Illuminations, hasPart, Villes]
Generated description
Villes is a section of Arthur Rimbaud’s poetic collection "Illuminations," known for its vivid, dreamlike depictions of modern urban landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Villes Target entity description: Villes is a section of Arthur Rimbaud’s poetic collection "Illuminations," known for its vivid, dreamlike depictions of modern urban landscapes.
-
A.
Ville
Ville is a common Finnish male given name, especially prevalent in the late 20th century.
-
B.
Cité
Cité is a Paris Métro station located on the Île de la Cité in the historic center of Paris.
-
C.
Ville Nouvelle
Ville Nouvelle is the modern European-style district of Fez, Morocco, characterized by wide boulevards, contemporary architecture, and commercial centers that contrast with the historic medina.
-
D.
Villeblevin
Villeblevin is a small commune in north-central France, best known as the place where writer Albert Camus died in a car accident.
-
E.
Ville Basse
Ville Basse is the lower, more modern part of the French city of Carcassonne, known for its shops, squares, and everyday urban life in contrast to the fortified medieval citadel.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91f6d4c08190a12e9a5901ee3508 |
completed | April 14, 2026, 7:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6499c7188190a79411b471cfa7d4 |
completed | May 8, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_69fd68a687dc8190bbb1ea24bfdb674b |
completed | May 8, 2026, 4:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd69982e648190b9af4f2895514c3e |
completed | May 8, 2026, 4:42 a.m. |
Created at: April 10, 2026, 1:19 a.m.