Triple
T35965072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuyvesant Street |
E1040120
|
entity |
| Predicate | laidOutOnLandOwnedBy |
P136567
|
FINISHED |
| Object | Stuyvesant family |
—
|
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: Stuyvesant family | Statement: [Stuyvesant Street, laidOutOnLandOwnedBy, Stuyvesant family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laidOutOnLandOwnedBy Context triple: [Stuyvesant Street, laidOutOnLandOwnedBy, Stuyvesant family]
-
A.
ownedLandBy
chosen
Indicates that one entity possesses legal or recognized ownership rights over a piece or area of land associated with another entity.
-
B.
ownsLandFor
Indicates that one entity possesses or holds ownership rights to land for the benefit, use, or purpose of another entity.
-
C.
hasLandStatus
Indicates that an entity possesses a particular legal or administrative status regarding land (such as ownership, tenure, protection, or use designation).
-
D.
leasedLandFor
Indicates that one party has granted another party the right to use a piece of land for a specified period under a lease agreement.
-
E.
hasLandAllotmentDescribedIn
Indicates that an entity’s land allotment is specified or detailed in a particular document or description.
- 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_69f76e26b21081909fd9ffb3aff6c77a |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7acaec1508190a38f2ac9cc5383e7 |
completed | May 3, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f7ab75387c819091afc3c2128eb903 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.