Triple

T29857426
Position Surface form Disambiguated ID Type / Status
Subject Walentas family E758223 entity
Predicate primaryBusinessVehicle P203545 FINISHED
Object Two Trees Management
Two Trees Management is a New York City–based real estate development and management company best known for transforming Brooklyn’s DUMBO neighborhood and other large-scale urban projects.
E844314 NE FINISHED

How this triple was built (3 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: Two Trees Management | Statement: [Walentas family, primaryBusinessVehicle, Two Trees Management]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Two Trees Management
Triple: [Walentas family, primaryBusinessVehicle, Two Trees Management]
Generated description
Two Trees Management is a New York City–based real estate development and management company best known for transforming Brooklyn’s DUMBO neighborhood and other large-scale urban projects.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryBusinessVehicle
Context triple: [Walentas family, primaryBusinessVehicle, Two Trees Management]
  • A. primaryCarNumberUsed
    Indicates that a particular car number is the main or default one used for an entity in a given context.
  • B. mainVehicle
    Indicates that one vehicle is the primary or most important vehicle associated with a given entity or context.
  • C. parentVehicle
    Indicates that one vehicle serves as the primary or containing vehicle from which another vehicle is derived, owned, or hierarchically related.
  • D. primaryTransportModel
    Indicates that one transport model is designated as the main or default model used for a given context or entity.
  • E. vehicleUsed
    Indicates that a particular vehicle is utilized or employed in performing an action, event, or activity.
  • F. None of above. chosen

Provenance (7 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_69f2245b4dec8190b85f664d918a00a5 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_6a01a0b63d148190b10206509c0a0a5b completed May 11, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a26e616526881908c04897500bc43fc completed June 8, 2026, 3:56 p.m.
NEDg Description generation batch_6a26e6e147d081909cd31eda74a95a11 completed June 8, 2026, 3:59 p.m.
NED2 Entity disambiguation (via description) batch_6a26eabd98e081908d444da8db7f2183 completed June 8, 2026, 4:15 p.m.
PD Predicate disambiguation batch_6a01a0245d4c8190a3c3fbbe83f0389d completed May 11, 2026, 9:23 a.m.
PDg Predicate description generation batch_6a01a0b5660c8190be66ff20bec1dd5c completed May 11, 2026, 9:26 a.m.
Created at: April 29, 2026, 5:47 p.m.