Triple

T4298115
Position Surface form Disambiguated ID Type / Status
Subject Three Gorges Reservoir Region E99765 entity
Predicate hasSocioeconomicIssue P55317 FINISHED
Object population resettlement 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: population resettlement | Statement: [Three Gorges Reservoir Region, hasSocioeconomicIssue, population resettlement]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSocioeconomicIssue
Context triple: [Three Gorges Reservoir Region, hasSocioeconomicIssue, population resettlement]
  • A. hasEconomicChallenge
    Indicates that an entity is experiencing or facing a financial or economic difficulty, constraint, or problem.
  • B. economicStatus
    Indicates the financial or socioeconomic condition or standing of an entity relative to others or to defined economic criteria.
  • C. hasUrbanIssue
    Indicates that an entity experiences, is affected by, or is associated with a specific problem or challenge related to urban environments or city life.
  • D. hasHousingAccess
    Indicates that an entity has the ability, right, or opportunity to obtain or use suitable housing.
  • E. focusesOnHousingSupport
    Indicates that the primary attention or effort within a given context is directed toward providing or improving housing-related assistance or support.
  • 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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3509bff808190a86fade7ccfc3611 completed March 12, 2026, 11:47 p.m.
PD Predicate disambiguation batch_69b347fe55a88190b77bab0c0f38e1aa completed March 12, 2026, 11:10 p.m.
PDg Predicate description generation batch_69b34e0606488190baadf469a1afc3c2 completed March 12, 2026, 11:36 p.m.
Created at: March 12, 2026, 11:08 p.m.