Triple
T405144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Inaugural Address |
E9366
|
entity |
| Predicate | portionEngravedOn |
P4758
|
FINISHED |
| Object | north interior wall of the Lincoln Memorial |
—
|
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: north interior wall of the Lincoln Memorial | Statement: [Second Inaugural Address, portionEngravedOn, north interior wall of the Lincoln Memorial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portionEngravedOn Context triple: [Second Inaugural Address, portionEngravedOn, north interior wall of the Lincoln Memorial]
-
A.
isInscribedOn
chosen
Indicates that text, symbols, or markings are written, carved, or otherwise permanently placed onto the surface of an object.
-
B.
inscribedOn
Indicates that text, symbols, or markings are written or carved onto the surface of an object.
-
C.
obverseDepiction
Indicates that one entity is depicted on the obverse (front) side of another, such as the front face of a coin or medal.
-
D.
inscribedBy
Indicates that one object has another object written, carved, or engraved onto its surface.
-
E.
authorizedCoinMetal
Indicates that a particular metal is officially approved for use in minting a given coin.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eca37fe881909802126952dfdd59 |
completed | Feb. 28, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69a2e97066e8819083cc1b3a421b9650 |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.