Triple
T11129130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Star Street |
E263230
|
entity |
| Predicate | hasCulturalLandscapeType |
P47444
|
FINISHED |
| Object | historic urban street |
—
|
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: historic urban street | Statement: [Star Street, hasCulturalLandscapeType, historic urban street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCulturalLandscapeType Context triple: [Star Street, hasCulturalLandscapeType, historic urban street]
-
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.
isCulturalHeritageSite
Indicates that a place or structure is officially recognized and protected as having significant cultural, historical, or artistic value.
-
D.
hasHeritageValueFor
Indicates that something possesses cultural, historical, or heritage significance for a particular entity or community.
-
E.
isCulturalSignificance
Indicates that something holds notable meaning, value, or influence within a particular culture or cultural context.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e830e804819097fcc3826d84dab8 |
completed | April 9, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69d7441efe948190ae4ab020121e169d |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:28 p.m.