Triple

T2934079
Position Surface form Disambiguated ID Type / Status
Subject Vieux-Port de Marseille E79223 entity
Predicate locatedInBay P40 FINISHED
Object Lacydon
Lacydon is the natural harbor basin that forms the historic core of Marseille’s Old Port on the Mediterranean coast of France.
 E311610 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: Lacydon | Statement: [Vieux-Port de Marseille, locatedInBay, Lacydon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lacydon
Context triple: [Vieux-Port de Marseille, locatedInBay, Lacydon]
  • A. Leagrave
    Leagrave is a suburban area of Luton in Bedfordshire, England, known as the district where the River Lea originates.
  • B. Glenwillow
    Glenwillow is a small village in northeastern Ohio that forms part of the Greater Cleveland metropolitan area.
  • C. Woodfin
    Woodfin is the surname of Randall Woodfin, an American politician and mayor of Birmingham, Alabama.
  • D. Kiloran
    Kiloran is a small coastal settlement on the Scottish island of Colonsay, known for its scenic bay and sandy beach.
  • E. Loyalty Ridge
    Loyalty Ridge is an underwater geological feature in the southwest Pacific Ocean, likely forming part of a submarine plateau or seamount chain.
  • 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: Lacydon
Triple: [Vieux-Port de Marseille, locatedInBay, Lacydon]
Generated description
Lacydon is the natural harbor basin that forms the historic core of Marseille’s Old Port on the Mediterranean coast of France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lacydon
Target entity description: Lacydon is the natural harbor basin that forms the historic core of Marseille’s Old Port on the Mediterranean coast of France.
  • A. Leagrave
    Leagrave is a suburban area of Luton in Bedfordshire, England, known as the district where the River Lea originates.
  • B. Glenwillow
    Glenwillow is a small village in northeastern Ohio that forms part of the Greater Cleveland metropolitan area.
  • C. Woodfin
    Woodfin is the surname of Randall Woodfin, an American politician and mayor of Birmingham, Alabama.
  • D. Kiloran
    Kiloran is a small coastal settlement on the Scottish island of Colonsay, known for its scenic bay and sandy beach.
  • E. Loyalty Ridge
    Loyalty Ridge is an underwater geological feature in the southwest Pacific Ocean, likely forming part of a submarine plateau or seamount chain.
  • 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_69ad8b0fbab081908f6a61567c045d8d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad983b65f881909b8b7d3dc5c224fd completed March 8, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0867ba1b48190a54d00c32b075548 completed March 10, 2026, 9 p.m.
NEDg Description generation batch_69b0dbda7ab881908b5a3e1e897fcb49 completed March 11, 2026, 3:04 a.m.
NED2 Entity disambiguation (via description) batch_69b0dc3ed9e08190ac6c6357f0084ba6 completed March 11, 2026, 3:06 a.m.
Created at: March 8, 2026, 2:56 p.m.