Triple
T15717252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 550 Madison Avenue |
E380992
|
entity |
| Predicate | landmarkDesignationScope |
P119898
|
FINISHED |
| Object | exterior |
—
|
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: exterior | Statement: [550 Madison Avenue, landmarkDesignationScope, exterior]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landmarkDesignationScope Context triple: [550 Madison Avenue, landmarkDesignationScope, exterior]
-
A.
landmarkDesignationLevel
Indicates the specific level or category of official landmark status that has been assigned to an entity.
-
B.
UNESCOInscriptionScope
Indicates the scope or extent of what is covered by a site's inscription on the UNESCO World Heritage List (e.g., which parts, features, or areas are officially included).
-
C.
heritageDesignationAppliesToJurisdiction
Indicates that a particular heritage designation is officially applicable within a specified jurisdiction or administrative area.
-
D.
earthDesignation
Indicates that an entity has a specific name or label assigned to it for use in an Earth-based or human-centric context.
-
E.
religiousDesignation
Indicates the specific religious role, status, or affiliation assigned to an entity.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f91beb08190bd91bf9306737c3b |
completed | April 16, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69e00526759c819088b80d85138b8974 |
completed | April 15, 2026, 9:37 p.m. |
| PDg | Predicate description generation | batch_69e0094af5b481908ad51d5d7ba0c726 |
completed | April 15, 2026, 9:55 p.m. |
Created at: April 10, 2026, 4:45 a.m.