Triple
T990641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World War II Memorial |
E21379
|
entity |
| Predicate | FreedomWallStarsCount |
P22815
|
FINISHED |
| Object | 4048 |
—
|
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: 4048 | Statement: [World War II Memorial, FreedomWallStarsCount, 4048]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FreedomWallStarsCount Context triple: [World War II Memorial, FreedomWallStarsCount, 4048]
-
A.
artistOfMurals
Indicates that an entity creates or is responsible for producing murals.
-
B.
numberOfFiguresDepicted
Indicates the total count of distinct figures shown within a given depiction or representation.
-
C.
allyOfUnitedStates
Indicates a relationship where an entity maintains a supportive, cooperative, or formally allied partnership with the United States.
-
D.
nationalMonument
Indicates that something has been officially designated as a national monument by a country or governing authority.
-
E.
depictsNationality
Indicates that one entity visually represents or portrays the nationality or national identity of another entity.
- 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_69a493c383dc8190a03257f22d4b4183 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4ac27e081908f132115464667b2 |
completed | March 1, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69a4b2adbde48190b07966d0c3179516 |
completed | March 1, 2026, 9:42 p.m. |
| PDg | Predicate description generation | batch_69a4b38630848190bd3898a4f42018ad |
completed | March 1, 2026, 9:45 p.m. |
Created at: March 1, 2026, 7:41 p.m.