Triple

T19898810
Position Surface form Disambiguated ID Type / Status
Subject Cagayan Province E478223 entity
Predicate hasSeaport P3007 FINISHED
Object Port of Santa Ana NE NERFINISHED

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: Port of Santa Ana | Statement: [Cagayan Province, hasSeaport, Port of Santa Ana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Santa Ana
Context triple: [Cagayan Province, hasSeaport, Port of Santa Ana]
  • A. Port of Santa Ana chosen
    The Port of Santa Ana is a coastal seaport in Cagayan province in the Philippines that serves as a regional hub for maritime trade and transportation.
  • B. Port of San Diego
    The Port of San Diego is a major maritime hub on San Diego Bay that manages cargo, cruise, shipbuilding, and waterfront real estate activities for the San Diego region.
  • C. Oceanside Harbor
    Oceanside Harbor is a coastal marina and waterfront area in Oceanside, California, known for its recreational boating, beaches, dining, and scenic ocean views.
  • D. Port of Long Beach
    The Port of Long Beach is one of the busiest and most important container seaports in the United States, serving as a major gateway for trans-Pacific trade.
  • E. Port of Richmond, California
    The Port of Richmond, California is a major deep-water shipping and transportation hub on the San Francisco Bay that handles diverse cargo and supports the industrial economy of the city of Richmond.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6593fbb348190afa7acf45af406ed completed April 20, 2026, 4:50 p.m.
Created at: April 10, 2026, 1:52 p.m.