Triple
T27538658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Steel Building (informal, historical) |
E695167
|
entity |
| Predicate | refersToAddress |
P179910
|
FINISHED |
| Object | 165 Broadway |
—
|
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: 165 Broadway | Statement: [U.S. Steel Building (informal, historical), refersToAddress, 165 Broadway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToAddress Context triple: [U.S. Steel Building (informal, historical), refersToAddress, 165 Broadway]
-
A.
addressedWith
Indicates that one entity is referred to or spoken to using a particular name, title, or form of address.
-
B.
addressedThrough
Indicates that an issue, request, or communication is handled, resolved, or processed by means of a specified channel, method, or intermediary.
-
C.
usesAddressTo
Indicates that one entity makes use of a particular address (such as a physical, email, or network address) to interact, communicate, or perform an action involving another entity.
-
D.
isAddressedIn
Indicates that a particular topic, issue, or entity is discussed, handled, or dealt with within a specified document, communication, or context.
-
E.
addressedFor
Indicates that something is directed, designated, or intended for a particular recipient or target.
- 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_69ef538608b081908b9f659bb09d5e0f |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
| PDg | Predicate description generation | batch_69f72920c6208190aa4aba6cb6193109 |
completed | May 3, 2026, 10:53 a.m. |
Created at: April 27, 2026, 1:29 p.m.