Triple
T32268837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Park Row Building |
E824361
|
entity |
| Predicate | isEarlySkyscraper |
P173902
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Park Row Building, isEarlySkyscraper, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEarlySkyscraper Context triple: [Park Row Building, isEarlySkyscraper, true]
-
A.
isSkyscraperIn
Indicates that a skyscraper is located within or belongs to a specified geographic area or place.
-
B.
locatedInSkyscraper
Indicates that one entity is physically situated within or inside a skyscraper.
-
C.
partOfSkylineOf
Indicates that one entity is a visible component or feature contributing to the overall skyline profile of another entity, typically a city or urban area.
-
D.
locatedInSkyscraperDistrict
Indicates that an entity is situated within a district or area characterized by skyscrapers.
-
E.
skylineType
Indicates the general visual or structural character of a skyline, such as its dominant form, density, or profile.
- 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_69f3490e73588190915f282edd105772 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bc858f288190a674b92fac98b600 |
completed | May 3, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
| PDg | Predicate description generation | batch_69f6b960ca4081909a77690c2b122f5e |
completed | May 3, 2026, 2:56 a.m. |
Created at: May 1, 2026, 12:42 a.m.