Triple
T19819154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graham, Missouri |
E476139
|
entity |
| Predicate | hasOfficialName |
P66
|
FINISHED |
| Object | Graham, Missouri |
—
|
NE NERFINISHED |
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: Graham, Missouri | Statement: [Graham, Missouri, hasOfficialName, Graham, Missouri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Graham, Missouri Context triple: [Graham, Missouri, hasOfficialName, Graham, Missouri]
-
A.
Graham, Missouri
chosen
Graham, Missouri is a small rural town located in Nodaway County in the northwestern part of the state.
-
B.
Guthrie, Missouri
Guthrie, Missouri is a small unincorporated rural community located in Callaway County in the U.S. state of Missouri.
-
C.
Estill, Missouri
Estill, Missouri is a small unincorporated community located in Howard County in the central part of the state.
-
D.
Hume, Missouri
Hume, Missouri is a small rural village located in western Missouri near the Kansas border, known for its agricultural community and local small-town character.
-
E.
Gladstone, Missouri
Gladstone, Missouri is a suburban city in the Kansas City metropolitan area known for its residential neighborhoods and community-oriented services.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654fc8b94819095fd5240f33b6713 |
completed | April 20, 2026, 4:31 p.m. |
Created at: April 10, 2026, 1:50 p.m.