Triple
T14624163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Answers |
E343301
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | “Kansas” |
E30311
|
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: “Kansas” | Statement: [The Answers, hasPart, “Kansas”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Kansas” Context triple: [The Answers, hasPart, “Kansas”]
-
A.
Town of Kansas
Town of Kansas was the original 19th-century riverfront settlement that later grew into and was renamed Kansas City, Missouri.
-
B.
Nowhere, Kansas
Nowhere, Kansas is the isolated, eerie rural town that serves as the primary setting of the animated series "Courage the Cowardly Dog."
-
C.
Green, Kansas
Green, Kansas is a small rural city located in Clay County in the north-central region of the U.S. state of Kansas.
-
D.
Lakin, Kansas
Lakin, Kansas is a small city in southwestern Kansas that serves as the administrative and economic center of Kearny County.
-
E.
Kansas
chosen
Kansas is a largely rural, landlocked U.S. state known for its extensive plains, agricultural production, and central location within the country.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb468acc4819083b7e818d5cec809 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda9288e748190bf65a01803265a73 |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:26 a.m.