Triple
T18925724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Monument (Spain) |
E462965
|
entity |
| Predicate | protectsValue |
P1040
|
FINISHED |
| Object | cultural significance |
—
|
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 significance | Statement: [National Monument (Spain), protectsValue, cultural significance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: protectsValue Context triple: [National Monument (Spain), protectsValue, cultural significance]
-
A.
valueProtected
Indicates that a value is safeguarded from unauthorized access, modification, or exposure.
-
B.
protects
chosen
Indicates taking action to keep someone or something safe from harm, danger, or negative effects.
-
C.
providesProtectionAgainst
Indicates that one entity serves to guard, shield, or defend another entity from a specified harm, threat, or adverse effect.
-
D.
encapsulatesValue
Indicates that one entity contains and represents the underlying value of another entity as its internal content.
-
E.
protectedBy
Indicates that one entity provides protection, defense, or safeguarding for another entity.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c9b94e008190a0e9a70aaf6d18ed |
completed | April 20, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e9e6488190ba8df92c8058ed88 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:59 a.m.