Triple
T583985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Monument of Chile |
E15117
|
entity |
| Predicate | heritageCategory |
P5929
|
FINISHED |
| Object | national monument |
—
|
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: national monument | Statement: [National Monument of Chile, heritageCategory, national monument]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heritageCategory Context triple: [National Monument of Chile, heritageCategory, national monument]
-
A.
heritageType
chosen
Indicates the classification of an entity’s cultural or natural heritage category or type within a heritage framework.
-
B.
heritageValue
Indicates that something possesses cultural, historical, or traditional significance that is valued and preserved as heritage.
-
C.
heritageField
Indicates that there is an association between an entity and a specific field, domain, or area related to cultural or historical heritage.
-
D.
heritageManagement
Indicates the management, preservation, and regulation of cultural or natural heritage resources by responsible entities.
-
E.
heritageTheme
Indicates that something is associated with, represents, or is categorized under a particular cultural or historical heritage theme.
- 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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b8745c88190af9672e5fe8396c3 |
completed | March 1, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69a494c9315c8190a773e8e00737d8a0 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.