Triple
T541587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Historic Landmark |
E12640
|
entity |
| Predicate | typeOfSignificance |
P15465
|
FINISHED |
| Object | historical 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: historical significance | Statement: [National Historic Landmark, typeOfSignificance, historical significance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfSignificance Context triple: [National Historic Landmark, typeOfSignificance, historical significance]
-
A.
significance
Indicates that one entity holds particular importance, influence, or meaningful impact in relation to another entity or context.
-
B.
classificationLevel
Indicates the degree or tier within an ordered system or hierarchy to which something is assigned for categorization or control purposes.
-
C.
eraOfSignificance
Indicates the historical period or timeframe during which an entity was particularly important, influential, or noteworthy.
-
D.
designationLevel
Indicates the specific rank, tier, or level assigned to an entity within a designation or classification system.
-
E.
legalSignificance
Indicates that something has recognized importance, effect, or consequence within a legal context or system.
- F. None of above. chosen
Provenance (4 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49861195081909540eaf402a5401a |
completed | March 1, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69a494b67c308190a1a225ab7c4b74c6 |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a49858abd48190bd4b002a93e4a908 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:32 p.m.