Triple
T2638108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Troy Savings Bank Music Hall |
E62795
|
entity |
| Predicate | organInstallationYear |
P25221
|
FINISHED |
| Object | 1890 |
—
|
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: 1890 | Statement: [Troy Savings Bank Music Hall, organInstallationYear, 1890]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: organInstallationYear Context triple: [Troy Savings Bank Music Hall, organInstallationYear, 1890]
-
A.
yearOfOriginalInstallation
Indicates the specific calendar year when something was first installed or put into initial operation.
-
B.
yearOfOrganInstallation
chosen
Indicates the year in which an organ was installed at a particular location or in a particular instrument.
-
C.
yearOfManufacture
Indicates the specific calendar year in which an item was produced or manufactured.
-
D.
incorporationYear
Indicates the calendar year in which an organization or entity was formally incorporated or legally established.
-
E.
purchaseYear
Indicates the calendar year in which a purchase or acquisition of something took place.
- 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd8e470ac8190bd0d6de6805afcd0 |
completed | March 7, 2026, 7:51 a.m. |
| PD | Predicate disambiguation | batch_69abd812849881908f956845a80e0205 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:53 p.m.