Triple

T8631547
Position Surface form Disambiguated ID Type / Status
Subject Gulf of California coast E204414 entity
Predicate hasCity P316 FINISHED
Object Guaymas E187284 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: Guaymas | Statement: [Gulf of California coast, hasCity, Guaymas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guaymas
Context triple: [Gulf of California coast, hasCity, Guaymas]
  • A. Guaymas chosen
    Guaymas is a coastal city and major seaport on the Gulf of California in the Mexican state of Sonora.
  • B. Puerto Guzmán
    Puerto Guzmán is a Colombian town and municipality known as one of the main population centers in the Amazonian region of the Putumayo Department.
  • C. Ensenada
    Ensenada is a coastal city in northwestern Baja California, Mexico, known for its busy port, tourism, and nearby wine-producing valleys.
  • D. Ensenada
    Ensenada is a small lakeside village in southern Chile’s Los Lagos Region, known as a gateway to outdoor activities around Lake Llanquihue and the nearby Osorno Volcano.
  • E. Manzanillo
    Manzanillo is a coastal city in southeastern Cuba known as an important port and commercial center on the Gulf of Guacanayabo.
  • 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_69ca834b903c8190add96cc651e1a477 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc47417e9c819099739ae901449308 completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecca2a3e48190b74ed3c948196409 completed April 2, 2026, 8:08 p.m.
Created at: March 30, 2026, 6:27 p.m.