Triple
T2193701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omaha people |
E49920
|
entity |
| Predicate | influencedToponym |
P20713
|
FINISHED |
| Object | name of Omaha, Nebraska |
—
|
LITERAL 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: name of Omaha, Nebraska | Statement: [Omaha people, influencedToponym, name of Omaha, Nebraska]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencedToponym Context triple: [Omaha people, influencedToponym, name of Omaha, Nebraska]
-
A.
influencedNameOf
chosen
Indicates that one entity has affected or shaped the naming or choice of name of another entity.
-
B.
placeOfInfluence
Indicates the location or area where an entity exerts significant impact, authority, or cultural, social, or intellectual influence.
-
C.
cityNamedAfter
Indicates that one city derives its name from or was named in honor of another entity, such as a person, place, or concept.
-
D.
hasPlaceNamedAfter
Indicates that one place is named in honor of or derived from the name of another place.
-
E.
isToponymic
Indicates that something is related to or derived from a place name (a toponym).
- F. None of above.
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_69a88aaba3c48190b351cab9b26989ff |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf4a542881908aaaf4f0f85bc32c |
completed | March 7, 2026, 6:01 a.m. |
| PD | Predicate disambiguation | batch_69abbda52328819089c7ab111bebb0ca |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.