Triple
T461534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boston Landmark (some components) |
E7348
|
entity |
| Predicate | hasHeritageType |
P5929
|
FINISHED |
| Object | cultural landscape |
—
|
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: cultural landscape | Statement: [Boston Landmark (some components), hasHeritageType, cultural landscape]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHeritageType Context triple: [Boston Landmark (some components), hasHeritageType, cultural landscape]
-
A.
hasHeritage
Indicates that an entity possesses or is associated with a particular cultural, ethnic, or ancestral background.
-
B.
heritageType
chosen
Indicates the classification of an entity’s cultural or natural heritage category or type within a heritage framework.
-
C.
hasHeritageOrganization
Indicates that an entity is associated with, or belongs to, a particular heritage-related organization.
-
D.
heritageField
Indicates that there is an association between an entity and a specific field, domain, or area related to cultural or historical heritage.
-
E.
heritageStatus
Indicates that an entity holds a particular cultural, historical, or natural heritage designation or protection status.
- 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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efbed5b88190a45716812eb4cfdf |
completed | Feb. 28, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69a2ede75b6c81908350103d21f22a03 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.