Triple

T19053226
Position Surface form Disambiguated ID Type / Status
Subject Freeport, Texas E466319 entity
Predicate hasPort P35 FINISHED
Object Port Freeport 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 Freeport | Statement: [Freeport, Texas, hasPort, Port Freeport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port Freeport
Context triple: [Freeport, Texas, hasPort, Port Freeport]
  • A. Port Freeport chosen
    Port Freeport is a deep-water seaport on the Texas Gulf Coast that serves as a major hub for international trade, petrochemical exports, and industrial shipping.
  • B. Mwanza Port
    Mwanza Port is a major Tanzanian inland port on Lake Victoria that serves as a key hub for regional transport and trade in the Mwanza area.
  • C. Port Refuge
    Port Refuge is an important Arctic archaeological site in Canada known for well-preserved remains of the prehistoric Dorset culture.
  • D. Port Foster
    Port Foster is a large, naturally sheltered bay within Deception Island in the South Shetland Islands of Antarctica, known as a key anchorage and gateway for scientific and logistical operations in the region.
  • E. Tandag Port
    Tandag Port is a local seaport facility serving passenger and cargo transport needs for the city of Tandag in Surigao del Sur, Philippines.
  • 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5dc03dfa08190924a1b8073364fa1 completed April 20, 2026, 7:55 a.m.
Created at: April 10, 2026, 12:03 p.m.