Triple

T17434693
Position Surface form Disambiguated ID Type / Status
Subject Airport Road area of Pune E423969 entity
Predicate realEstateTrend P124397 FINISHED
Object increasing property values 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: increasing property values | Statement: [Airport Road area of Pune, realEstateTrend, increasing property values]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: realEstateTrend
Context triple: [Airport Road area of Pune, realEstateTrend, increasing property values]
  • A. realEstateDemand
    Indicates the level or presence of interest and desire among potential buyers or renters for a particular piece of real estate.
  • B. realEstateMarketCharacteristic chosen
    Indicates a characteristic, condition, or defining feature of a real estate market.
  • C. realEstateMarketSegment
    Indicates the specific portion or category of the real estate market to which a property, transaction, or activity belongs (e.g., by price range, property type, or target buyer group).
  • D. propertyMarket
    Indicates a relationship where real estate or properties are being offered, traded, or evaluated within a market context.
  • E. realEstate
    Indicates a relationship where an entity owns, manages, or is otherwise associated with real property such as land or buildings.
  • 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4490361c081908fd24f9a812f212c completed April 19, 2026, 3:16 a.m.
PD Predicate disambiguation batch_69e3b030eac481909b8402719cc3102e completed April 18, 2026, 4:24 p.m.
Created at: April 10, 2026, 5:46 a.m.