Triple
T8065296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brooklyn Borough Hall |
E188227
|
entity |
| Predicate | originalConstructionStartYear |
P4034
|
FINISHED |
| Object | 1845 |
—
|
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: 1845 | Statement: [Brooklyn Borough Hall, originalConstructionStartYear, 1845]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalConstructionStartYear Context triple: [Brooklyn Borough Hall, originalConstructionStartYear, 1845]
-
A.
constructionStartYear
chosen
Indicates the calendar year in which the construction of something was begun.
-
B.
constructionDate
Indicates the date on which an entity (such as a building or structure) was constructed or completed.
-
C.
wasFirstBuiltInYear
Indicates that the initial construction of an entity was completed in a specified year.
-
D.
yearBuilt
Indicates the specific year in which something (typically a structure or object) was constructed or completed.
-
E.
reconstructionYear
Indicates the year in which something was rebuilt, restored, or reconstructed after damage, alteration, or destruction.
- 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_69ca82b42674819086840efea12478e5 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ff5547c8190a7ec5958a23e302f |
completed | March 31, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69cb049cd51c8190bb3b0f503e42fa8d |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:26 p.m.