Triple

T30825584
Position Surface form Disambiguated ID Type / Status
Subject Jenner E785052 entity
Predicate featureID_GNIS P158 FINISHED
Object 1658772 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: 1658772 | Statement: [Jenner, featureID_GNIS, 1658772]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featureID_GNIS
Context triple: [Jenner, featureID_GNIS, 1658772]
  • A. GNISFeatureID chosen
    Indicates that an entity is associated with a specific identifier assigned by the U.S. Geological Survey’s Geographic Names Information System (GNIS) to uniquely reference a geographic feature.
  • B. GNISID
    Indicates that an entity is associated with a specific identifier from the U.S. Geographic Names Information System (GNIS), uniquely linking it to an official geographic feature record.
  • C. IauFeatureId
    Indicates that an entity is associated with a specific IAU (International Astronomical Union) feature identifier, linking it to a standardized celestial surface feature record.
  • D. GNISFeatureClass
    Indicates the categorical type or class assigned to a geographic feature in the Geographic Names Information System (GNIS).
  • E. USGSID
    Indicates a unique identifier assigned by the U.S. Geological Survey to distinguish a specific geographic or geological feature from all others.
  • 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_69f224b6642481909e8d701de2cd1a53 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_6a00315632a8819092290f455babd7ee completed May 10, 2026, 7:18 a.m.
PD Predicate disambiguation batch_6a002f54a0dc81909b0e54c5e110e67c completed May 10, 2026, 7:10 a.m.
Created at: April 29, 2026, 8:44 p.m.