Triple

T31522943
Position Surface form Disambiguated ID Type / Status
Subject Shaybah residential and industrial complex E804255 entity
Predicate distanceFromNearestMajorCity P60767 FINISHED
Object hundreds of kilometers 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: hundreds of kilometers | Statement: [Shaybah residential and industrial complex, distanceFromNearestMajorCity, hundreds of kilometers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: distanceFromNearestMajorCity
Context triple: [Shaybah residential and industrial complex, distanceFromNearestMajorCity, hundreds of kilometers]
  • A. distanceFromMajorCity chosen
    Indicates the measured distance between a given location and a specified major city.
  • B. nearestMajorCity
    Indicates that one city is the closest significant urban center to another location or city compared to all other major cities.
  • C. largestNearbyCity
    Indicates that one city is the largest (by population, area, or another defined metric) among the cities located within a specified nearby region of another place or city.
  • D. nearestCityTo
    Indicates that one city is the closest in distance to a given location or entity compared to all other cities.
  • E. majorCityNearMouth
    Indicates that a major city is located close to the mouth (outflow point) of a river.
  • 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_69f348cf839c81908657048402f7f97b completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_6a01d077dcec8190b05b24b5de313b15 completed May 11, 2026, 12:50 p.m.
PD Predicate disambiguation batch_6a01cea0e37881909cb6888518c6d12f completed May 11, 2026, 12:42 p.m.
Created at: April 30, 2026, 9:57 p.m.