Triple
T4541753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Show Me State |
E107548
|
entity |
| Predicate | usedAsMottoOn |
P57591
|
FINISHED |
| Object | welcome signs at Missouri state borders |
—
|
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: welcome signs at Missouri state borders | Statement: [Show Me State, usedAsMottoOn, welcome signs at Missouri state borders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsMottoOn Context triple: [Show Me State, usedAsMottoOn, welcome signs at Missouri state borders]
-
A.
usesMotto
Indicates that one entity adopts or employs a particular motto as its guiding phrase or slogan.
-
B.
isMottoOf
Indicates that a phrase or expression serves as the official motto associated with a particular entity.
-
C.
mottoOriginalLanguage
Indicates the language in which a motto was originally formulated or expressed.
-
D.
nationalMottoUsed
Indicates that a particular phrase or expression is officially adopted and used as the national motto of a country or nation.
-
E.
hasPartInMotto
Indicates that something is included as a component or element within a motto.
- F. None of above. chosen
Provenance (4 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_69bd43f922788190b7edfa294e39b178 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57d219d88190a67ada845323d7fb |
completed | March 20, 2026, 2:21 p.m. |
| PD | Predicate disambiguation | batch_69bd5220e40481908ca2d7e2c43d8531 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56f6e75481909c487a94a2c2d0ba |
completed | March 20, 2026, 2:17 p.m. |
Created at: March 20, 2026, 1:04 p.m.