Triple

T536865
Position Surface form Disambiguated ID Type / Status
Subject Challenger Deep E12344 entity
Predicate hasTemperatureCelsiusApprox P4459 FINISHED
Object 1 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: 1 | Statement: [Challenger Deep, hasTemperatureCelsiusApprox, 1]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTemperatureCelsiusApprox
Context triple: [Challenger Deep, hasTemperatureCelsiusApprox, 1]
  • A. hasTemperature chosen
    Indicates that an entity possesses or is characterized by a specific temperature value.
  • B. averageTemperature
    Indicates the typical or mean temperature value associated with an entity over a specified period or context.
  • C. typicalTemperatureScale
    Indicates the temperature scale (such as Celsius or Fahrenheit) that is normally used to express temperature values for the given entity or context.
  • D. operatingTemperature
    Indicates the range or specific value of temperature within which an entity is designed or allowed to function properly.
  • E. coreTemperature
    Indicates that an entity has a specific internal or central temperature value.
  • 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_69a4933208e88190891f5debab1b776d completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4985e51908190a34aa82ea9dbee1e completed March 1, 2026, 7:49 p.m.
PD Predicate disambiguation batch_69a494b51ff08190a39f4168fd9a7ddf completed March 1, 2026, 7:34 p.m.
Created at: March 1, 2026, 7:32 p.m.