Triple

T1636686
Position Surface form Disambiguated ID Type / Status
Subject eBird E35372 entity
Predicate hasPart P35 FINISHED
Object eBird Hotspots E35372 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: eBird Hotspots | Statement: [eBird, hasPart, eBird Hotspots]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: eBird Hotspots
Context triple: [eBird, hasPart, eBird Hotspots]
  • A. eBird chosen
    eBird is a global, citizen-science bird observation platform and database that allows birdwatchers to record, share, and explore bird sightings worldwide.
  • B. NestWatch
    NestWatch is a citizen-science program that engages the public in monitoring and reporting bird nesting activity to support avian research and conservation.
  • C. Bird Studies Canada
    Bird Studies Canada is a national non-profit organization dedicated to bird research, monitoring, and conservation across Canada.
  • D. Cornell Lab of Ornithology
    The Cornell Lab of Ornithology is a world-renowned research, conservation, and education institution focused on the study of birds and biodiversity.
  • E. Great Backyard Bird Count
    The Great Backyard Bird Count is an annual global citizen-science event in which people of all ages report bird sightings to help track and study bird populations.
  • 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_69a886036bc081909ff5de16dbe5e8ea completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a192d588190bbfa4693ed787c05 completed March 5, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71a61de8819095005c222ec50810 completed March 8, 2026, 12:55 p.m.
Created at: March 4, 2026, 7:28 p.m.