Triple
T257341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marine Corps War Memorial |
E5463
|
entity |
| Predicate | constructionCompletedIn |
P1574
|
FINISHED |
| Object | 1954 |
—
|
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: 1954 | Statement: [Marine Corps War Memorial, constructionCompletedIn, 1954]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constructionCompletedIn Context triple: [Marine Corps War Memorial, constructionCompletedIn, 1954]
-
A.
constructionCompleted
Indicates that a construction process or project has been fully finished and reached its completed state.
-
B.
constructionResumed
Indicates that previously halted construction activity on an entity or project has started again.
-
C.
constructionSite
Indicates that an entity is a location or area where construction work is actively taking place or is planned to occur.
-
D.
constructionType
Indicates the specific method or style by which something is built or constructed.
-
E.
completedIn
chosen
Indicates that an action, process, or task was fully finished within a specified time period or duration.
- 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25d703e688190bb86c69527e306f5 |
completed | Feb. 28, 2026, 3:13 a.m. |
| PD | Predicate disambiguation | batch_69a25b694c08819085bb4b256fa7736f |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.