Triple

T2939417
Position Surface form Disambiguated ID Type / Status
Subject Southeast Texas E79346 entity
Predicate hasPort P35 FINISHED
Object Port of Galveston E24350 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: Port of Galveston | Statement: [Southeast Texas, hasPort, Port of Galveston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Galveston
Context triple: [Southeast Texas, hasPort, Port of Galveston]
  • A. 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.
  • B. Port of Beaumont
    The Port of Beaumont is a major deep-water shipping hub and one of the busiest U.S. military cargo ports, located on the Neches River in Southeast Texas.
  • C. 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.
  • D. Galveston chosen
    Galveston is a historic coastal city and port on Galveston Island in Texas, known for its role in 19th-century trade, the devastating 1900 hurricane, and its beaches and tourism.
  • 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_69ad8b0fbab081908f6a61567c045d8d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad986d9a248190927efc1a0c7d247f completed March 8, 2026, 3:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e1d59a48190b06ebe298590feb8 completed March 11, 2026, 8:55 a.m.
Created at: March 8, 2026, 2:56 p.m.