Triple

T16407391
Position Surface form Disambiguated ID Type / Status
Subject Gulf of Porto E398468 entity
Predicate locatedNear P294 FINISHED
Object Ota
Ota is a small commune in the Corse-du-Sud department of Corsica, France, known for its dramatic coastal and mountain scenery and proximity to the UNESCO-listed Gulf of Porto.
E1212337 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: Ota | Statement: [Gulf of Porto, locatedNear, Ota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ota
Context triple: [Gulf of Porto, locatedNear, Ota]
  • A. Ota
    Ota is a historically significant Awori town in southwestern Nigeria that has grown into a major industrial and educational hub.
  • B. Ota
    Ōta is a large ward in southern Tokyo, Japan, known for Haneda Airport, residential neighborhoods, and a mix of industrial and commercial areas.
  • C. Ota
    Ōta is a major industrial city in Japan’s northern Kantō region, known especially for its automotive manufacturing, including the headquarters and main plants of Subaru.
  • D. Ota
    Ota is a civil parish in Portugal, known for its location within the municipality of Alenquer in the Lisbon District.
  • E. Olta
    Olta is a small town in the La Rioja Province of northwestern Argentina that serves as an administrative and service center for the surrounding rural region.
  • 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: Ota
Triple: [Gulf of Porto, locatedNear, Ota]
Generated description
Ota is a small commune in the Corse-du-Sud department of Corsica, France, known for its dramatic coastal and mountain scenery and proximity to the UNESCO-listed Gulf of Porto.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ota
Target entity description: Ota is a small commune in the Corse-du-Sud department of Corsica, France, known for its dramatic coastal and mountain scenery and proximity to the UNESCO-listed Gulf of Porto.
  • A. Ota
    Ota is a historically significant Awori town in southwestern Nigeria that has grown into a major industrial and educational hub.
  • B. Ota
    Ōta is a large ward in southern Tokyo, Japan, known for Haneda Airport, residential neighborhoods, and a mix of industrial and commercial areas.
  • C. Ota
    Ōta is a major industrial city in Japan’s northern Kantō region, known especially for its automotive manufacturing, including the headquarters and main plants of Subaru.
  • D. Ota
    Ota is a civil parish in Portugal, known for its location within the municipality of Alenquer in the Lisbon District.
  • E. Olta
    Olta is a small town in the La Rioja Province of northwestern Argentina that serves as an administrative and service center for the surrounding rural region.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327d36b808190b6b8c412ae0d2faa completed April 18, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c64a05c8190a59e800ce2318052 completed May 10, 2026, 8:05 a.m.
NEDg Description generation batch_6a003dfdd4f88190b86db12bb9c7217a completed May 10, 2026, 8:12 a.m.
NED2 Entity disambiguation (via description) batch_6a003e953ca88190bb7c64c12a46c666 completed May 10, 2026, 8:15 a.m.
Created at: April 10, 2026, 5:09 a.m.