Triple
T11359337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Staten Island Unit |
E269041
|
entity |
| Predicate | hasCulturalResourceType |
P47444
|
FINISHED |
| Object | military fortifications |
—
|
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: military fortifications | Statement: [Staten Island Unit, hasCulturalResourceType, military fortifications]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCulturalResourceType Context triple: [Staten Island Unit, hasCulturalResourceType, military fortifications]
-
A.
hasCulturalSiteType
chosen
Indicates that an entity is associated with, or classified by, a specific type or category of cultural site.
-
B.
hasCulturalProperty
Indicates that something possesses or is associated with a cultural attribute, value, or characteristic.
-
C.
hasCulturalFacilityType
Indicates that an entity has or is associated with a specific type of cultural facility (such as a museum, theater, or gallery).
-
D.
hasCulturalFeature
Indicates that an entity possesses, includes, or is characterized by a particular cultural element, attribute, or landmark.
-
E.
hasCulturalProduct
Indicates that an entity possesses, produces, or is associated with a cultural artifact, work, or output (such as art, literature, music, or media).
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80148e2048190a716b515d78efdd1 |
completed | April 9, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69d7e6f8aeb4819080476f16a69b2ee3 |
completed | April 9, 2026, 5:50 p.m. |
Created at: April 8, 2026, 9:33 p.m.