Triple
T20500650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brownstone Street |
E503290
|
entity |
| Predicate | canBeRedressedAs |
P140324
|
FINISHED |
| Object | various New York City neighborhoods |
—
|
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: various New York City neighborhoods | Statement: [Brownstone Street, canBeRedressedAs, various New York City neighborhoods]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeRedressedAs Context triple: [Brownstone Street, canBeRedressedAs, various New York City neighborhoods]
-
A.
canBeDyed
Indicates that an entity has the property of being able to undergo a dyeing process to change or add color.
-
B.
mayBeWorn
Indicates that one entity is suitable or allowed to be worn by another entity, typically as clothing, accessories, or adornment.
-
C.
canBeReconstituted
Indicates that something has the capacity to be restored or returned to a prior or functional state, typically after being separated, dissolved, or broken down.
-
D.
canBeRedeemedFor
Indicates that one item, asset, or benefit may be exchanged or converted to obtain another specified item, asset, or benefit.
-
E.
isRepairable
Indicates that an entity can be restored to proper working condition through repair.
- F. None of above. chosen
Provenance (4 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_69e0b4b1e52c8190894281cf7e3283ab |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cc1ea7081908d17c224b1670bd7 |
completed | April 20, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69e59fcdf6e08190a604204615dc56e6 |
completed | April 20, 2026, 3:38 a.m. |
| PDg | Predicate description generation | batch_69e5a6a824748190bbe6192d73f3c613 |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:35 a.m.