Triple

T762336
Position Surface form Disambiguated ID Type / Status
Subject Duval County, Florida E16097 entity
Predicate majorPort P528 FINISHED
Object JAXPORT E50864 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: JAXPORT | Statement: [Duval County, Florida, majorPort, JAXPORT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JAXPORT
Context triple: [Duval County, Florida, majorPort, JAXPORT]
  • A. JAXPORT chosen
    JAXPORT is the public seaport authority for Jacksonville, Florida, serving as a major U.S. hub for container, automobile, and bulk cargo shipping.
  • B. Port of Houston
    The Port of Houston is a major U.S. deep-water seaport and one of the nation’s busiest hubs for international trade and petrochemical shipping along the Gulf Coast.
  • C. Port of Corpus Christi
    The Port of Corpus Christi is one of the largest and busiest U.S. seaports, serving as a major hub for energy exports and industrial shipping on the Texas coast.
  • D. Port of Tampa
    The Port of Tampa is a major deep-water seaport in Florida that serves as a key hub for cargo shipping, petroleum imports, and cruise operations in the southeastern United States.
  • E. Port of Mobile
    The Port of Mobile is a major deep-water seaport in Alabama that serves as a key hub for international trade, shipping, and transportation infrastructure in the southeastern United States.
  • 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_69a493684ee48190bd43b7c78da4aec8 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a6841f388190a6d08c3bf5c17fe4 completed March 1, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69a66673d6288190bb6a68c6c376016e completed March 3, 2026, 4:41 a.m.
Created at: March 1, 2026, 7:37 p.m.