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.