Triple

T2199408
Position Surface form Disambiguated ID Type / Status
Subject Ecuador Time E50453 entity
Predicate usedIn P98 FINISHED
Object Manta
Manta is a major coastal city and important seaport in western Ecuador, known for its fishing industry, beaches, and commercial activity.
 E241444 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: Manta | Statement: [Ecuador Time, usedIn, Manta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Manta
Context triple: [Ecuador Time, usedIn, Manta]
  • A. Mola
    Mola is a Spanish surname most notably associated with Emilio Mola, a key Nationalist general during the Spanish Civil War.
  • B. Tayassu
    Tayassu is a genus of New World peccaries, medium-sized pig-like mammals native to Central and South American forests and scrublands.
  • C. Pantar
    Pantar is an island in eastern Indonesia’s Alor archipelago, known for its linguistic diversity and use of several Central Malayo-Polynesian languages.
  • D. Tiburon
    Tiburon is a small, affluent waterfront town in Marin County, California, known for its scenic views of San Francisco Bay and ferry access to nearby islands.
  • E. Cudder
    Cudder is a nickname and alias of American rapper, singer, and actor Kid Cudi, known for his introspective, genre-blending music.
  • 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: Manta
Triple: [Ecuador Time, usedIn, Manta]
Generated description
Manta is a major coastal city and important seaport in western Ecuador, known for its fishing industry, beaches, and commercial activity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Manta
Target entity description: Manta is a major coastal city and important seaport in western Ecuador, known for its fishing industry, beaches, and commercial activity.
  • A. Mola
    Mola is a Spanish surname most notably associated with Emilio Mola, a key Nationalist general during the Spanish Civil War.
  • B. Tayassu
    Tayassu is a genus of New World peccaries, medium-sized pig-like mammals native to Central and South American forests and scrublands.
  • C. Pantar
    Pantar is an island in eastern Indonesia’s Alor archipelago, known for its linguistic diversity and use of several Central Malayo-Polynesian languages.
  • D. Tiburon
    Tiburon is a small, affluent waterfront town in Marin County, California, known for its scenic views of San Francisco Bay and ferry access to nearby islands.
  • E. Cudder
    Cudder is a nickname and alias of American rapper, singer, and actor Kid Cudi, known for his introspective, genre-blending music.
  • 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_69a88b044ab48190add007487680f009 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbf9e99f08190892d34485c8f2f25 completed March 7, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5dbb6e8481908610337cfd2a4bd1 completed March 9, 2026, 5:42 a.m.
NEDg Description generation batch_69ae5e4a45a08190bd96af6cda06ab35 completed March 9, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69ae5ec4a35c8190bffc7a183497e764 completed March 9, 2026, 5:46 a.m.
Created at: March 4, 2026, 7:46 p.m.