Triple
T21045450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Felix M. Warburg House |
E518435
|
entity |
| Predicate | designationAsNYCLandmarkDate |
P55004
|
FINISHED |
| Object | 1981 |
—
|
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: 1981 | Statement: [Felix M. Warburg House, designationAsNYCLandmarkDate, 1981]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designationAsNYCLandmarkDate Context triple: [Felix M. Warburg House, designationAsNYCLandmarkDate, 1981]
-
A.
designatedNYCLandmark
Indicates that an entity has been officially designated as a New York City landmark by the appropriate municipal authority.
-
B.
NYCLandmarkID
Indicates that an entity has been designated as a New York City landmark and is associated with a specific official NYC landmark identification number.
-
C.
cityLandmarkDesignationDate
chosen
Indicates the date on which a particular landmark was officially designated or recognized within a city.
-
D.
NationalHistoricLandmarkDesignationDate
Indicates the date on which something was officially designated as a National Historic Landmark.
-
E.
cityLandmarkDesignation
Indicates that a particular landmark has been officially designated or recognized as a landmark by a specific city.
- 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcf3cac081909915a440fbb5c084 |
completed | April 21, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf6728881908a2a43a5c8804a2a |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:32 p.m.