Triple
T5505044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kemper County, Mississippi |
E144417
|
entity |
| Predicate | hasISOCode |
P189
|
FINISHED |
| Object | US-MS |
E79156
|
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: US-MS | Statement: [Kemper County, Mississippi, hasISOCode, US-MS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: US-MS Context triple: [Kemper County, Mississippi, hasISOCode, US-MS]
-
A.
US-MS
chosen
US-MS is the ISO 3166-2 code representing the U.S. state of Mississippi.
-
B.
US-ME
US-ME is the ISO 3166-2 code representing the U.S. state of Maine.
-
C.
US-MT
US-MT is the ISO 3166-2 subdivision code that uniquely identifies the U.S. state of Montana.
-
D.
State of Mississippi
The State of Mississippi is a U.S. state in the Deep South known for its significant role in American history, particularly the Civil War and civil rights movement, as well as its influential contributions to blues music and Southern culture.
-
E.
Us
Us is a 2019 horror film written and directed by Jordan Peele that explores themes of identity and duality through a family's terrifying encounter with their doppelgängers.
- 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_69c008f6b5048190a09064116062cf69 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f0e91d08190a4db907030955bb3 |
completed | March 22, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027b3ab408190ab1e68dfbcf7eec6 |
completed | March 22, 2026, 5:32 p.m. |
Created at: March 22, 2026, 3:32 p.m.