Triple

T3082734
Position Surface form Disambiguated ID Type / Status
Subject Colima E64296 entity
Predicate largestCity P235 FINISHED
Object Manzanillo E181815 NE FINISHED

How this triple was built (2 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: Manzanillo | Statement: [Colima, largestCity, Manzanillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manzanillo
Context triple: [Colima, largestCity, Manzanillo]
  • A. Manzanillo chosen
    Manzanillo is a major Pacific coastal city in western Mexico known for its busy commercial port and popular beach tourism.
  • B. Puerto Vallarta
    Puerto Vallarta is a popular Pacific coast resort city in the Mexican state of Jalisco, known for its beaches, nightlife, and vibrant arts and cultural scene.
  • C. Mazatlán, Mexico
    Mazatlán, Mexico is a Pacific coastal city in the state of Sinaloa known for its long sandy beaches, historic old town, and major seaport and tourism industry.
  • D. Guaymas
    Guaymas is a coastal city and major seaport on the Gulf of California in the Mexican state of Sonora.
  • E. San José del Cabo
    San José del Cabo is a historic coastal city at the southern tip of Mexico’s Baja California Peninsula, known for its colonial architecture, beaches, and role as one of the two main towns forming the Los Cabos resort area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1e70b9081908c801d084a6ae992 completed March 8, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224bbc4088190bdbb0a214b512944 completed March 12, 2026, 2:28 a.m.
Created at: March 8, 2026, 3:03 p.m.