Triple
T21082948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tall John |
E519414
|
entity |
| Predicate | yearOfCurrentStructure |
P19392
|
FINISHED |
| Object | 1785 |
—
|
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: 1785 | Statement: [Tall John, yearOfCurrentStructure, 1785]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfCurrentStructure Context triple: [Tall John, yearOfCurrentStructure, 1785]
-
A.
yearBuilt
chosen
Indicates the specific year in which something (typically a structure or object) was constructed or completed.
-
B.
originalStructureDemolishedYear
Indicates the year in which the original structure associated with the subject was demolished.
-
C.
associatedBuildingDate
Indicates the date on which a particular building is formally linked or related to another entity or record.
-
D.
demolitionYearApprox
Indicates that an entity was demolished in or around a particular year, where the year is an approximate rather than an exact value.
-
E.
reErectedAt
Indicates that something was rebuilt or re-erected at a particular location or site.
- 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_69e0b506e59c8190849b71ed07929215 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e702dcbf9c81908e4cc016eb21bbbc |
completed | April 21, 2026, 4:53 a.m. |
| PD | Predicate disambiguation | batch_69e5dbfcd5e881908f1e4e0d2d237856 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:49 p.m.