Triple

T25808613
Position Surface form Disambiguated ID Type / Status
Subject Modern Green Development Co. E650042 entity
Predicate buildingTypeDeveloped P5744 FINISHED
Object mixed-use complexes 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: mixed-use complexes | Statement: [Modern Green Development Co., buildingTypeDeveloped, mixed-use complexes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: buildingTypeDeveloped
Context triple: [Modern Green Development Co., buildingTypeDeveloped, mixed-use complexes]
  • A. urbanDevelopmentType chosen
    Indicates the specific category or nature of urban development associated with or applied to an entity (e.g., residential, commercial, mixed-use).
  • B. buildingType
    Indicates the specific category or function that characterizes what kind of building something is.
  • C. cityDevelopedBeside
    Indicates that a city was developed in close proximity to and along the side of a particular geographic feature, settlement, or infrastructure.
  • D. developedArea
    Indicates that a geographic region or land parcel has been built upon or otherwise modified for human use, such as through construction or infrastructure development.
  • E. neighborhoodDeveloped
    Indicates that a particular neighborhood has undergone development, such as construction, improvement, or expansion of its infrastructure 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_69e7ab35d264819095367f7e80c983ff completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f600c2a7748190809b59109e476169 completed May 2, 2026, 1:48 p.m.
PD Predicate disambiguation batch_69f4938b960081909b53c074a3e0c7c2 completed May 1, 2026, 11:50 a.m.
Created at: April 22, 2026, 7:07 a.m.