Triple

T30206294
Position Surface form Disambiguated ID Type / Status
Subject Port Clements E767931 entity
Predicate hasOfficialName P66 FINISHED
Object Village of Port Clements
The Village of Port Clements is a small coastal community on Haida Gwaii in British Columbia, Canada, known for its forestry history, access to outdoor recreation, and proximity to rich marine and forest ecosystems.
 E1904661 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: Village of Port Clements | Statement: [Port Clements, hasOfficialName, Village of Port Clements]
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: Village of Port Clements
Triple: [Port Clements, hasOfficialName, Village of Port Clements]
Generated description
The Village of Port Clements is a small coastal community on Haida Gwaii in British Columbia, Canada, known for its forestry history, access to outdoor recreation, and proximity to rich marine and forest ecosystems.

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_69f2247eb0848190b4032f302d39c0d9 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67fc855008190ba33386a8e990bc9 completed May 2, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2758a90ec88190848bb2ed84476a2e completed June 9, 2026, 12:04 a.m.
NEDg Description generation batch_6a275a7f3e7c8190bd79a2bad2e66ca1 completed June 9, 2026, 12:12 a.m.
NED2 Entity disambiguation (via description) batch_6a275e9f9f148190ab1d1fd5ebc2d6bd completed June 9, 2026, 12:30 a.m.
Created at: April 29, 2026, 7:31 p.m.