Triple
T3392127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States v. [Accused] |
E71443
|
entity |
| Predicate | captionElement |
P29642
|
FINISHED |
| Object | name of sovereign (United States) |
—
|
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: name of sovereign (United States) | Statement: [United States v. [Accused], captionElement, name of sovereign (United States)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: captionElement Context triple: [United States v. [Accused], captionElement, name of sovereign (United States)]
-
A.
crestElement
Indicates that one entity is a crest or emblematic design element associated with, or forming part of, another entity.
-
B.
mapCaption
Indicates that the value is a textual caption or label describing the associated map.
-
C.
titleComponent
Indicates that one entity is a component or segment of the overall title associated with another entity.
-
D.
caps
Indicates that one entity serves as the capital city or administrative center of another entity, such as a country, state, or region.
-
E.
insigniaCaption
chosen
Indicates the text that serves as a caption or explanatory label specifically for an insignia.
- 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_69ad85a9c4a88190a854019341cb3b60 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb850594c81909b6f8a384fc98cb2 |
completed | March 8, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69adadf705608190975423779430cc58 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:14 p.m.