Triple

T37823103
Position Surface form Disambiguated ID Type / Status
Subject Monza urban area E942976 entity
Predicate laborMarketIntegratedWith P43644 FINISHED
Object Milan urban area NE NERFINISHED

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: Milan urban area | Statement: [Monza urban area, laborMarketIntegratedWith, Milan urban area]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laborMarketIntegratedWith
Context triple: [Monza urban area, laborMarketIntegratedWith, Milan urban area]
  • A. laborMarket
    Indicates the relationship between workers seeking jobs and employers offering positions, including how wages, employment levels, and working conditions are determined through their interaction.
  • B. sharesLaborMarketWith chosen
    Indicates that two entities operate within the same or substantially overlapping labor market, drawing from and competing for a similar pool of workers.
  • C. laborMarketTest
    Indicates that an employer has attempted to recruit suitable local or domestic workers before offering the position to a foreign or non-local candidate.
  • D. laborMarketUsage
    Indicates how an entity utilizes, participates in, or depends on the labor market for work, hiring, or employment-related activities.
  • E. laborMarketEffect
    Indicates the impact that an action, policy, or condition has on employment, wages, or other labor market outcomes.
  • 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_69f76ee987588190906506e759be5db3 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbbae559a8819086ef839973f8d9b2 completed May 6, 2026, 10:04 p.m.
PD Predicate disambiguation batch_69fbb1440fa08190abf25ba684f75b6e completed May 6, 2026, 9:23 p.m.
Created at: May 3, 2026, 4:19 p.m.