Triple

T10774724
Position Surface form Disambiguated ID Type / Status
Subject Lackawanna Coal Mine Tour E254167 entity
Predicate approximateUndergroundTemperature P19296 FINISHED
Object around 50 degrees Fahrenheit 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: around 50 degrees Fahrenheit | Statement: [Lackawanna Coal Mine Tour, approximateUndergroundTemperature, around 50 degrees Fahrenheit]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: approximateUndergroundTemperature
Context triple: [Lackawanna Coal Mine Tour, approximateUndergroundTemperature, around 50 degrees Fahrenheit]
  • A. hasUndergroundDepth
    Indicates that one entity has a specified vertical extent or depth located below the ground surface relative to another reference or context.
  • B. typicalTemperature chosen
    Indicates the usual or characteristic temperature associated with an entity under normal conditions.
  • C. temperatureRelativeToSurroundings
    Indicates how an entity’s temperature compares to that of its immediate surroundings (e.g., warmer, cooler, or equal).
  • D. averageTemperature
    Indicates the typical or mean temperature value associated with an entity over a specified period or context.
  • E. globalTemperatureDecreaseApproximate
    Indicates an estimated or roughly measured reduction in global temperature over a specified period or under certain conditions.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7329be784819083b7ec4d85c20acf completed April 9, 2026, 5:01 a.m.
PD Predicate disambiguation batch_69d6f31455648190b5c24690487b1b54 completed April 9, 2026, 12:30 a.m.
Created at: April 8, 2026, 9:16 p.m.