Triple

T9965608
Position Surface form Disambiguated ID Type / Status
Subject Poésies E195675 entity
Predicate hasPart P35 FINISHED
Object L’Azur
L’Azur is a celebrated poem by Stéphane Mallarmé, noted for its symbolist exploration of the sky, the infinite, and existential anguish.
E832998 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: L’Azur | Statement: [Poésies, hasPart, L’Azur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: L’Azur
Context triple: [Poésies, hasPart, L’Azur]
  • A. Lignes d’Azur
    Lignes d’Azur is the public transportation network of Nice and its metropolitan area, operating trams and buses across the region.
  • B. Outremer
    Outremer was the collective name for the Crusader states established by Western European Christians in the Levant during the Middle Ages.
  • C. La Mar
    La Mar is an archaeological site in the western Maya lowlands known for its Classic-period Maya ruins and inscriptions.
  • D. The Sea
    "The Sea" is a lyrical poem by Russian Romantic poet Vasily Zhukovsky that meditates on the beauty, mystery, and emotional power of the ocean.
  • E. The Sea
    The Sea is a 1973 darkly comic play by British dramatist Edward Bond that satirically explores class, grief, and social order in a small Edwardian seaside town.
  • 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: L’Azur
Triple: [Poésies, hasPart, L’Azur]
Generated description
L’Azur is a celebrated poem by Stéphane Mallarmé, noted for its symbolist exploration of the sky, the infinite, and existential anguish.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: L’Azur
Target entity description: L’Azur is a celebrated poem by Stéphane Mallarmé, noted for its symbolist exploration of the sky, the infinite, and existential anguish.
  • A. Lignes d’Azur
    Lignes d’Azur is the public transportation network of Nice and its metropolitan area, operating trams and buses across the region.
  • B. Outremer
    Outremer was the collective name for the Crusader states established by Western European Christians in the Levant during the Middle Ages.
  • C. La Mar
    La Mar is an archaeological site in the western Maya lowlands known for its Classic-period Maya ruins and inscriptions.
  • D. The Sea
    "The Sea" is a 2013 British-Irish drama film adaptation of John Banville’s novel, following a grieving man who returns to a seaside town from his childhood to confront his past.
  • E. The Sea
    "The Sea" is a lyrical poem by Russian Romantic poet Vasily Zhukovsky that meditates on the beauty, mystery, and emotional power of the ocean.
  • 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb71c38488190a6f3cda11994f6a2 completed April 2, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23da2d7988190b8603ddb151996d9 completed April 5, 2026, 10:46 a.m.
NEDg Description generation batch_69d23eb1c1f481908404225dcccd0697 completed April 5, 2026, 10:51 a.m.
NED2 Entity disambiguation (via description) batch_69d242aea6a08190a73a836e59865c35 completed April 5, 2026, 11:08 a.m.
Created at: March 30, 2026, 8:47 p.m.