Triple

T28851432
Position Surface form Disambiguated ID Type / Status
Subject Sorkheh E728605 entity
Predicate hasAridCharacteristics P181228 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: [Sorkheh, hasAridCharacteristics, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAridCharacteristics
Context triple: [Sorkheh, hasAridCharacteristics, yes]
  • A. hasWatershedCharacteristic
    Indicates that a watershed possesses a specified characteristic, feature, or property.
  • B. hasLandscapeFeatures
    Indicates that an entity possesses or includes specific landscape-related characteristics or elements.
  • C. hasValleyCharacteristic
    Indicates that something possesses a feature, quality, or attribute that is characteristic of a valley.
  • D. hasRiverineCharacteristic
    Indicates that something possesses qualities, features, or conditions associated with rivers or river environments.
  • E. hasIslandCharacteristic
    Indicates that an entity possesses a feature, quality, or attribute specifically associated with islands.
  • 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_69f0319f4e5481909e4c439dbe8be940 completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f7675b12848190a3569cfda29c5b0e completed May 3, 2026, 3:18 p.m.
PD Predicate disambiguation batch_69f762f4b59481909f70074f11825bfb completed May 3, 2026, 3 p.m.
PDg Predicate description generation batch_69f76759b3c48190ad8f1b33596f98c4 completed May 3, 2026, 3:18 p.m.
Created at: April 28, 2026, 6:44 a.m.