Triple

T2142577
Position Surface form Disambiguated ID Type / Status
Subject La Défense E46791 entity
Predicate hasLandmark P105 FINISHED
Object Tour First
Tour First is a prominent skyscraper in the La Défense business district of Paris, known as one of the tallest office towers in France.
E236673 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: Tour First | Statement: [La Défense, hasLandmark, Tour First]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tour First
Context triple: [La Défense, hasLandmark, Tour First]
  • A. Tour Voile
    Tour Voile is a prominent annual offshore sailing race in France featuring multihull and monohull competitions along the French coastline.
  • B. Pro Trek
    Pro Trek is a Casio line of rugged outdoor watches designed for activities like hiking, trekking, and mountaineering, featuring advanced sensors and durability.
  • C. Btourram
    Btourram is a village in northern Lebanon, known as the birthplace of Lebanese philosopher and diplomat Charles Malik.
  • D. Trekkers
    Trekkers are devoted fans of the Star Trek franchise, known for their deep engagement with its stories, characters, and speculative science fiction universe.
  • E. Tour Saint-Jacques
    Tour Saint-Jacques is a flamboyant Gothic tower in central Paris, originally part of a 16th-century church and now a historic monument and landmark.
  • 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: Tour First
Triple: [La Défense, hasLandmark, Tour First]
Generated description
Tour First is a prominent skyscraper in the La Défense business district of Paris, known as one of the tallest office towers in France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tour First
Target entity description: Tour First is a prominent skyscraper in the La Défense business district of Paris, known as one of the tallest office towers in France.
  • A. Tour Voile
    Tour Voile is a prominent annual offshore sailing race in France featuring multihull and monohull competitions along the French coastline.
  • B. Pro Trek
    Pro Trek is a Casio line of rugged outdoor watches designed for activities like hiking, trekking, and mountaineering, featuring advanced sensors and durability.
  • C. Btourram
    Btourram is a village in northern Lebanon, known as the birthplace of Lebanese philosopher and diplomat Charles Malik.
  • D. Trekkers
    Trekkers are devoted fans of the Star Trek franchise, known for their deep engagement with its stories, characters, and speculative science fiction universe.
  • E. Tour Saint-Jacques
    Tour Saint-Jacques is a flamboyant Gothic tower in central Paris, originally part of a 16th-century church and now a historic monument and landmark.
  • 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_69a88a174ab48190a5db20c132e5dccf completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbe206db0819095772af5358dca55 completed March 7, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51b63e4081908a5d87af5d17d3c4 completed March 9, 2026, 4:51 a.m.
NEDg Description generation batch_69ae52d29d708190809ee4d5047b2755 completed March 9, 2026, 4:55 a.m.
NED2 Entity disambiguation (via description) batch_69ae532ec8808190b1ecd8c4f66df30d completed March 9, 2026, 4:57 a.m.
Created at: March 4, 2026, 7:44 p.m.