Triple
T13597916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. National Historic Landmark District |
E324869
|
entity |
| Predicate | significanceArea |
P110231
|
FINISHED |
| Object | American history |
—
|
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: American history | Statement: [U.S. National Historic Landmark District, significanceArea, American history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: significanceArea Context triple: [U.S. National Historic Landmark District, significanceArea, American history]
-
A.
coreAreaOf
Indicates that one entity is the central, primary, or most important area or domain of focus for another entity.
-
B.
notableAreaWithin
Indicates that one area is a particularly significant or noteworthy part located inside another, larger area.
-
C.
representedArea
Indicates that one entity serves as a representation or depiction of a particular area or region.
-
D.
reportingArea
Indicates that one entity serves as the geographic or organizational area for which information, data, or events about another entity are reported or aggregated.
-
E.
statisticalAreaOf
Indicates that one entity is the designated statistical area or region associated with, containing, or characterizing another entity for statistical or demographic purposes.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0795acc8190a08667ab9dcb0d44 |
completed | April 12, 2026, 2:47 p.m. |
| PD | Predicate disambiguation | batch_69dbae18eaf48190809e8b365856cde9 |
completed | April 12, 2026, 2:37 p.m. |
| PDg | Predicate description generation | batch_69dbaf9f3bdc8190838539aaef1f422b |
completed | April 12, 2026, 2:43 p.m. |
Created at: April 9, 2026, 9:49 p.m.