Triple

T798340
Position Surface form Disambiguated ID Type / Status
Subject Long Island E17071 entity
Predicate contains P35 FINISHED
Object Freeport
Freeport is a waterfront village on Long Island in New York known for its marinas, fishing industry, and nautical tourism.
 E95724 NE FINISHED

How this triple was built (4 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: Freeport | Statement: [Long Island, contains, Freeport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Freeport
Context triple: [Long Island, contains, Freeport]
  • A. New Britain
    New Britain is a large volcanic island in the Bismarck Archipelago of Papua New Guinea, known for its rugged terrain, active volcanoes, and diverse indigenous cultures.
  • B. Knox
    Knox is a surname most famously associated with Henry Knox, a key American Revolutionary War general and the first United States Secretary of War.
  • C. Crown Point
    Crown Point is a prominent scenic overlook in Oregon offering sweeping views of the Columbia River Gorge and home to the historic Vista House.
  • D. Kandel
    Kandel is a prominent mountain in Germany’s Black Forest region, known for its scenic views and outdoor recreation opportunities.
  • E. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Freeport
Triple: [Long Island, contains, Freeport]
Generated description
Freeport is a waterfront village on Long Island in New York known for its marinas, fishing industry, and nautical tourism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Freeport
Target entity description: Freeport is a waterfront village on Long Island in New York known for its marinas, fishing industry, and nautical tourism.
  • A. New Britain
    New Britain is a large volcanic island in the Bismarck Archipelago of Papua New Guinea, known for its rugged terrain, active volcanoes, and diverse indigenous cultures.
  • B. Knox
    Knox is a surname most famously associated with Henry Knox, a key American Revolutionary War general and the first United States Secretary of War.
  • C. Crown Point
    Crown Point is a prominent scenic overlook in Oregon offering sweeping views of the Columbia River Gorge and home to the historic Vista House.
  • D. Kandel
    Kandel is a prominent mountain in Germany’s Black Forest region, known for its scenic views and outdoor recreation opportunities.
  • E. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • F. None of above. chosen

Provenance (5 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_69a49378b9c48190adbf5f62e5b7aca1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a7b4d9548190aad5fdf1211cf8cd completed March 1, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69a689227bfc8190a4378f0093dca7ef completed March 3, 2026, 7:09 a.m.
NEDg Description generation batch_69a689c9974c819082082cd83fe46cbc completed March 3, 2026, 7:12 a.m.
NED2 Entity disambiguation (via description) batch_69a6d763a7848190ba4d5266d581acdb completed March 3, 2026, 12:43 p.m.
Created at: March 1, 2026, 7:38 p.m.