Triple
T9924221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Admiral David Farragut Monument, New York City |
E187879
|
entity |
| Predicate | yearOfInstallation |
P25196
|
FINISHED |
| Object | 1881 |
—
|
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: 1881 | Statement: [Admiral David Farragut Monument, New York City, yearOfInstallation, 1881]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfInstallation Context triple: [Admiral David Farragut Monument, New York City, yearOfInstallation, 1881]
-
A.
yearOfOriginalInstallation
chosen
Indicates the specific calendar year when something was first installed or put into initial operation.
-
B.
yearOfOrganInstallation
Indicates the year in which an organ was installed at a particular location or in a particular instrument.
-
C.
dateInstalled
Indicates the specific date on which an item, system, or component was installed or put into service.
-
D.
yearBuilt
Indicates the specific year in which something (typically a structure or object) was constructed or completed.
-
E.
deploymentYear
Indicates the calendar year in which an entity (such as a system, product, or resource) was first put into active use or operation.
- 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_69ca82b22a688190b52c75bd48429c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb598651081908286763ff56ba57c |
completed | April 2, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69cd1d90b8a8819081748f129c0c6ab6 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:43 p.m.