Triple

T7747850
Position Surface form Disambiguated ID Type / Status
Subject Making-Out-Road E175676 entity
Predicate ethnographicRole P78488 FINISHED
Object example of Native American–Euro-American marital alliances 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: example of Native American–Euro-American marital alliances | Statement: [Making-Out-Road, ethnographicRole, example of Native American–Euro-American marital alliances]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ethnographicRole
Context triple: [Making-Out-Road, ethnographicRole, example of Native American–Euro-American marital alliances]
  • A. ethnicRole
    Indicates a role, function, or social position that is specifically associated with or defined by an entity’s ethnicity.
  • B. designedRole
    Indicates that one entity has been created, configured, or intended to serve a particular function, purpose, or role in relation to another entity.
  • C. cultRole
    Indicates that an entity holds a specific role, position, or function within a cult or cult-like group.
  • D. encodingRole
    Indicates the role or function an entity has in the process of encoding information into a particular form or representation.
  • E. deFactoRole
    Indicates that an entity effectively functions in a role or capacity in practice, even if that role is not formally or officially assigned.
  • 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_69c69960b3588190a53aa590d31d9544 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c705257ca08190a78c592a1e616da8 completed March 27, 2026, 10:31 p.m.
PD Predicate disambiguation batch_69c7016df2b08190b2330a2010691431 completed March 27, 2026, 10:15 p.m.
PDg Predicate description generation batch_69c70524c3948190a163dc5f4ecdffa7 completed March 27, 2026, 10:31 p.m.
Created at: March 27, 2026, 4:08 p.m.