Triple
T14551381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | equestrian statue of General Ulysses S. Grant (Brooklyn) |
E341425
|
entity |
| Predicate | madeForUse |
P98
|
FINISHED |
| Object | public commemoration |
—
|
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: public commemoration | Statement: [equestrian statue of General Ulysses S. Grant (Brooklyn), madeForUse, public commemoration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: madeForUse Context triple: [equestrian statue of General Ulysses S. Grant (Brooklyn), madeForUse, public commemoration]
-
A.
usedFor
chosen
Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
-
B.
usesMake
Indicates that one entity employs, applies, or utilizes another entity as a means, tool, or method to achieve some purpose.
-
C.
madeWith
Indicates that one entity is created, produced, or constructed using another entity as a material, ingredient, or component.
-
D.
usedOn
Indicates that one entity is applied to, operated on, or otherwise utilized in relation to another entity.
-
E.
isBelievedToBeUsedFor
Indicates that something is thought or assumed to serve a particular purpose or function, without certainty.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2ee34208190bf040a513767c958 |
completed | April 14, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69de5c546c7081909e27d504ec360c5c |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:23 a.m.