Triple

T9149144
Position Surface form Disambiguated ID Type / Status
Subject Qijiang District E219535 entity
Predicate hasDinosaurFossilSite P14600 FINISHED
Object yes 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: yes | Statement: [Qijiang District, hasDinosaurFossilSite, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDinosaurFossilSite
Context triple: [Qijiang District, hasDinosaurFossilSite, yes]
  • A. hasNotableFossilSite chosen
    Indicates that an entity contains or is associated with a fossil site recognized as significant or noteworthy.
  • B. containsFossilsOf
    Indicates that one entity (typically a geological formation, rock, or sample) includes fossil remains or traces belonging to another entity (an organism or taxon).
  • C. hasNearbyArchaeologicalSite
    Indicates that an entity is located close to or in the vicinity of an archaeological site.
  • D. fossilSiteType
    Indicates the specific type or classification of a site where fossils are found or collected.
  • E. fossilsFoundOn
    Indicates that fossils are discovered or located on a particular surface, layer, or object.
  • 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_69ca83e121dc81909912bd66953081c5 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca96908d88190a1d12517f6d1aece completed April 1, 2026, 5:13 a.m.
PD Predicate disambiguation batch_69cc6603ce8c8190bf6e8d6754bdec54 completed April 1, 2026, 12:25 a.m.
Created at: March 30, 2026, 7:20 p.m.