Triple
T3967109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prairie Town Village |
E92242
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Wamego |
E398633
|
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: Wamego | Statement: [Prairie Town Village, city, Wamego]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wamego Context triple: [Prairie Town Village, city, Wamego]
-
A.
Wamego
chosen
Wamego is a small Kansas city known for its strong connection to The Wizard of Oz, including themed attractions and annual celebrations.
-
B.
Zunheboto
Zunheboto is a town in the northeastern Indian state of Nagaland, known as the headquarters of the Sumi Naga community and for its hilly terrain and rich tribal culture.
-
C.
Quixadá
Quixadá is a municipality in northeastern Brazil known for its distinctive rocky monoliths and adventure tourism, particularly rock climbing and hang gliding.
-
D.
Acamas
Acamas is a figure in Greek mythology, traditionally known as a son of the Athenian hero Theseus who took part in events surrounding the Trojan War.
-
E.
Waynoka
Waynoka is a small city in northwestern Oklahoma known historically as a railroad hub and as a gateway to the nearby Little Sahara State Park sand dunes.
- 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_69aed96624188190ac8c45bb57ab72b5 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef976f4fc8190b2c16ab62c19cdb8 |
completed | March 9, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54006b5e48190973e30055a0893a5 |
completed | March 14, 2026, 11:01 a.m. |
Created at: March 9, 2026, 3:32 p.m.