Triple

T1182387
Position Surface form Disambiguated ID Type / Status
Subject Mission San Fernando Rey de España E25166 entity
Predicate sequenceNumberInAltaCaliforniaMissions P24122 FINISHED
Object 17 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: 17 | Statement: [Mission San Fernando Rey de España, sequenceNumberInAltaCaliforniaMissions, 17]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sequenceNumberInAltaCaliforniaMissions
Context triple: [Mission San Fernando Rey de España, sequenceNumberInAltaCaliforniaMissions, 17]
  • A. sequenceInCaliforniaMissions chosen
    Indicates that one entity occurs at a specific position within the ordered sequence of the California missions.
  • B. CaliforniaHistoricalLandmarkNumber
    Indicates that an entity has been assigned a specific official California Historical Landmark identification number.
  • C. LosAngelesHistoricCulturalMonumentNumber
    Indicates that an entity has been designated as a Los Angeles Historic-Cultural Monument and specifies its official monument number in that registry.
  • D. sacramentNumber
    Indicates the specific ordinal position or count assigned to a sacrament within a defined set or sequence of sacraments.
  • E. numberOfStelae
    Indicates the quantity of stelae associated with a given entity or context.
  • 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_69a494267b4c819088c97a59182bf56a completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd347d4481909e9094463011289d completed March 1, 2026, 10:27 p.m.
PD Predicate disambiguation batch_69a4bb59ca6c81908597a81646674aaa completed March 1, 2026, 10:19 p.m.
Created at: March 1, 2026, 7:45 p.m.