Triple

T3874842
Position Surface form Disambiguated ID Type / Status
Subject Le Havre AC E92474 entity
Predicate nickname P55 FINISHED
Object Le HAC
Le HAC is a French professional football club based in Le Havre, known as one of the oldest football clubs in France.
E395576 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: Le HAC | Statement: [Le Havre AC, nickname, Le HAC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Le HAC
Context triple: [Le Havre AC, nickname, Le HAC]
  • A. Hallidie
    Hallidie is a surname most notably associated with Andrew Smith Hallidie, the 19th-century engineer credited with pioneering San Francisco’s cable car system.
  • B. Halawa
    Halawa is a residential and industrial valley community in Honolulu County, Hawaii, known for landmarks such as Aloha Stadium and Pearl Harbor’s eastern shores.
  • C. Ouvrage Hackenberg
    Ouvrage Hackenberg is one of the largest and most significant Maginot Line fortifications in northeastern France, now preserved as a military museum and historical site.
  • D. Hannut
    Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
  • E. Hubuna
    Hubuna is a town in southwestern Saudi Arabia located within the Najran Region near the Yemeni border.
  • 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: Le HAC
Triple: [Le Havre AC, nickname, Le HAC]
Generated description
Le HAC is a French professional football club based in Le Havre, known as one of the oldest football clubs in France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Le HAC
Target entity description: Le HAC is a French professional football club based in Le Havre, known as one of the oldest football clubs in France.
  • A. Hallidie
    Hallidie is a surname most notably associated with Andrew Smith Hallidie, the 19th-century engineer credited with pioneering San Francisco’s cable car system.
  • B. Halawa
    Halawa is a residential and industrial valley community in Honolulu County, Hawaii, known for landmarks such as Aloha Stadium and Pearl Harbor’s eastern shores.
  • C. Ouvrage Hackenberg
    Ouvrage Hackenberg is one of the largest and most significant Maginot Line fortifications in northeastern France, now preserved as a military museum and historical site.
  • D. Hannut
    Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
  • E. Hubuna
    Hubuna is a town in southwestern Saudi Arabia located within the Najran Region near the Yemeni border.
  • 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_69aed967448c819086c4b358d37b25aa completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec59bea08190b1e193f34944a2ee completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5124cdf588190b3b83ee8fb29450a completed March 14, 2026, 7:46 a.m.
NEDg Description generation batch_69b5132715888190bc5ba6182965e813 completed March 14, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69b513b11dcc8190a2c2e3f27b4cf25e completed March 14, 2026, 7:52 a.m.
Created at: March 9, 2026, 3:20 p.m.