Triple

T35097694
Position Surface form Disambiguated ID Type / Status
Subject Kotelnich E1012909 entity
Predicate hasNearbyScientificActivity P181755 FINISHED
Object paleontological excavations LITERAL 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: paleontological excavations | Statement: [Kotelnich, hasNearbyScientificActivity, paleontological excavations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNearbyScientificActivity
Context triple: [Kotelnich, hasNearbyScientificActivity, paleontological excavations]
  • A. hasResearchActivities
    Indicates that an entity engages in, conducts, or is associated with research-related activities.
  • B. hasScientificImportanceNearby chosen
    Indicates that something in the surrounding area possesses notable scientific significance or value.
  • C. hasResearchActivityLevel
    Indicates the degree or intensity of research-related activity associated with an entity.
  • D. hasScientificInterestIn
    Indicates that one entity holds a scientific curiosity, concern, or research focus directed toward another entity.
  • E. nearbyScientificAchievement
    Indicates that a scientific achievement occurs or exists in close spatial proximity to a specified reference point or entity.
  • F. None of above.

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_69f76dd556248190808b4c4f43debebb completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fffc783b648190bcd7df017514d206 completed May 10, 2026, 3:33 a.m.
PD Predicate disambiguation batch_69fffc03fa24819099e12413dc6e0afd completed May 10, 2026, 3:31 a.m.
Created at: May 3, 2026, 4:01 p.m.