Triple
T4084990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smallpox Hospital Ruins |
E87567
|
entity |
| Predicate | designatedNewYorkCityLandmark |
P1733
|
FINISHED |
| Object | 1970s |
—
|
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: 1970s | Statement: [Smallpox Hospital Ruins, designatedNewYorkCityLandmark, 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designatedNewYorkCityLandmark Context triple: [Smallpox Hospital Ruins, designatedNewYorkCityLandmark, 1970s]
-
A.
designatedNYCLandmark
chosen
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.
designatedChicagoLandmark
Indicates that an entity has been officially recognized and designated as a Chicago landmark.
-
D.
One World Trade CenterInstanceOf
Indicates that One World Trade Center belongs to or is classified as a specific type or class of thing (its general category).
-
E.
emblematicBuildingLocation
Indicates that a building serves as a symbolic or representative landmark for a particular location or area.
- 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_69aed9435cf48190ad1da737c962d19d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc7b7cc4819089cfbf2b1c23ccc5 |
completed | March 9, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69aef9082c2081908474f082a49bebc8 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:39 p.m.