Triple
T8875562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metz, Missouri |
E211271
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Metz, Missouri |
E211271
|
NE 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: Metz, Missouri | Statement: [Metz, Missouri, hasName, Metz, Missouri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metz, Missouri Context triple: [Metz, Missouri, hasName, Metz, Missouri]
-
A.
Metz, Missouri
chosen
Metz, Missouri is a small rural village located in western Missouri within Vernon County.
-
B.
Paris, Missouri
Paris, Missouri is a small rural city that serves as the county seat of Monroe County in northeastern Missouri, United States.
-
C.
Missouri City, Missouri
Missouri City, Missouri is a small suburban community in Clay County that forms part of the greater Kansas City metropolitan area.
-
D.
St. Petersburg, Missouri
St. Petersburg, Missouri is the fictional Mississippi River town in Mark Twain’s novels, notably "The Adventures of Tom Sawyer," serving as the home of characters like Sid Sawyer and Tom Sawyer.
-
E.
New London, Missouri
New London, Missouri is a small city in northeastern Missouri that serves as the administrative and governmental center of Ralls County.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca838e78748190934d82db3104f855 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc614565788190aa14535760df88c8 |
completed | April 1, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd082bbe88190a207d39f9295735e |
completed | April 3, 2026, 2:36 p.m. |
Created at: March 30, 2026, 6:52 p.m.