Triple
T37607452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 430 Park Avenue |
E935692
|
entity |
| Predicate | hasMailingAddress |
P4379
|
FINISHED |
| Object | 430 Park Avenue, New York, NY, United States |
—
|
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: 430 Park Avenue, New York, NY, United States | Statement: [430 Park Avenue, hasMailingAddress, 430 Park Avenue, New York, NY, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMailingAddress Context triple: [430 Park Avenue, hasMailingAddress, 430 Park Avenue, New York, NY, United States]
-
A.
usesMailingAddressOf
Indicates that one entity uses another entity’s mailing address as its own for receiving mail or official correspondence.
-
B.
hasPostalAddressComponent
Indicates that an entity is associated with a specific part or element of a postal address (such as street, city, or postal code).
-
C.
hasPostalAddressType
Indicates that an entity’s postal address is classified under a specific type or category (such as residential, business, or mailing).
-
D.
hasAddress
chosen
Indicates that an entity is associated with a specific address or location.
-
E.
hasPostalRole
Indicates that an entity holds or is assigned a specific role or function within a postal or mail-related context.
- 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_69f76ed0a85481909254a8a89090c826 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:18 p.m.