Triple
T6934694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | brig Niagara |
E160524
|
entity |
| Predicate | yearOfOriginalConstruction |
P19392
|
FINISHED |
| Object | 1813 |
—
|
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: 1813 | Statement: [brig Niagara, yearOfOriginalConstruction, 1813]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfOriginalConstruction Context triple: [brig Niagara, yearOfOriginalConstruction, 1813]
-
A.
yearBuilt
chosen
Indicates the specific year in which something (typically a structure or object) was constructed or completed.
-
B.
reconstructionYear
Indicates the year in which something was rebuilt, restored, or reconstructed after damage, alteration, or destruction.
-
C.
constructionDate
Indicates the date on which an entity (such as a building or structure) was constructed or completed.
-
D.
yearOfOriginalInstallation
Indicates the specific calendar year when something was first installed or put into initial operation.
-
E.
demolitionYearApprox
Indicates that an entity was demolished in or around a particular year, where the year is an approximate rather than an exact value.
- 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_69c6884e15208190b9e91487eaafcf85 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e0c74fe48190aeaa018631e52ef6 |
completed | March 27, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bd5a388190a57a96d925696ff6 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:27 p.m.