Triple
T15423206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wabash Railroad |
E369435
|
entity |
| Predicate | servedCity |
P3936
|
FINISHED |
| Object | Omaha |
E8912
|
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: Omaha | Statement: [Wabash Railroad, servedCity, Omaha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Omaha Context triple: [Wabash Railroad, servedCity, Omaha]
-
A.
Omaha
Omaha are a Native American tribe of the Great Plains, historically known for their semi-nomadic buffalo hunting, earth-lodge villages, and residence in what is now Nebraska.
-
B.
Omaha, Nebraska
chosen
Omaha, Nebraska is the largest city in the state of Nebraska, known as a major Midwestern economic and cultural hub situated along the Missouri River.
-
C.
Nebraska Omaha
Nebraska Omaha is the commonly used short name for the University of Nebraska Omaha, a public research university located in Omaha, Nebraska.
-
D.
Les Moines
Les Moines is a symbolist poetry collection by Belgian writer Émile Verhaeren that explores monastic life, spirituality, and inner conflict.
-
E.
Nebraska City
Nebraska City is a small southeastern Nebraska city along the Missouri River, best known as a historic river port and the home of Arbor Day.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ec032548190840b558dde6057c7 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a7d02a08190a1e34e3a014acea9 |
completed | May 9, 2026, 11:29 a.m. |
Created at: April 10, 2026, 3:20 a.m.