Triple

T12042388
Position Surface form Disambiguated ID Type / Status
Subject Pyotr Semyonov-Tyan-Shansky E286693 entity
Predicate honorificSuffixMeaning P102911 FINISHED
Object of the Tian Shan 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: of the Tian Shan | Statement: [Pyotr Semyonov-Tyan-Shansky, honorificSuffixMeaning, of the Tian Shan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: honorificSuffixMeaning
Context triple: [Pyotr Semyonov-Tyan-Shansky, honorificSuffixMeaning, of the Tian Shan]
  • A. honorificSuffix
    Indicates that one entity is a respectful or formal suffix appended to another entity’s name or title.
  • B. honorificSense
    Indicates that one entity refers to another using an honorific or respectful linguistic form.
  • C. honoraryTitleMeaning
    Indicates that an honorary title is conferred to recognize or symbolize a particular status, achievement, or role without granting the full formal powers or responsibilities of that title.
  • D. honorificIndicates
    Indicates that one entity uses an honorific title or respectful form of address to refer to or address another entity.
  • E. honorificPrefix
    Indicates the formal title or respectful prefix (e.g., "Dr.", "Mr.", "Prof.") used before a person's name to denote status, role, or honor.
  • F. None of above. chosen

Provenance (4 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9100b4ca8819084845ca4c13e34ce completed April 10, 2026, 2:58 p.m.
PD Predicate disambiguation batch_69d902bac9e08190aa1a99c835f29542 completed April 10, 2026, 2:01 p.m.
PDg Predicate description generation batch_69d91006e14081909838412df082f794 completed April 10, 2026, 2:58 p.m.
Created at: April 8, 2026, 9:47 p.m.