Triple

T9695908
Position Surface form Disambiguated ID Type / Status
Subject Guerrero Negro E234648 entity
Predicate tourismSeasonFeature P53625 FINISHED
Object gray whale calving season 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: gray whale calving season | Statement: [Guerrero Negro, tourismSeasonFeature, gray whale calving season]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tourismSeasonFeature
Context triple: [Guerrero Negro, tourismSeasonFeature, gray whale calving season]
  • A. seasonalTourism chosen
    Indicates that tourism activity in a place varies significantly by season, with distinct peak and off-peak periods.
  • B. tourismFeature
    Indicates that something serves as an attraction, amenity, or point of interest relevant to tourism or visitors.
  • C. tourismCharacteristic
    Indicates that something has a specific feature, quality, or attribute relevant to tourism, such as what makes a place, service, or activity notable or suitable for tourists.
  • D. tourismTheme
    Indicates the main subject or focus of a tourism-related activity, service, or destination (such as cultural, adventure, or eco-tourism).
  • E. travelCharacteristic
    Indicates a quality, feature, or attribute that characterizes how travel or movement is conducted or experienced.
  • 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d366c488190bc153c68fef197c2 completed April 1, 2026, 10:33 p.m.
PD Predicate disambiguation batch_69ccd5b9e93c8190947cce56a3925364 completed April 1, 2026, 8:22 a.m.
Created at: March 30, 2026, 8:17 p.m.