Triple
T13878903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Onyota’a:ka |
E333654
|
entity |
| Predicate | associatedWithHistoricTerritory |
P24920
|
FINISHED |
| Object | central New York |
—
|
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: central New York | Statement: [Onyota’a:ka, associatedWithHistoricTerritory, central New York]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithHistoricTerritory Context triple: [Onyota’a:ka, associatedWithHistoricTerritory, central New York]
-
A.
historicalRegionAssociation
Indicates an association where an entity is or was located in, part of, or otherwise related to a specific historical region.
-
B.
hasHistoricTerritory
chosen
Indicates that an entity possesses or claims a territory that it historically occupied, controlled, or was associated with in the past.
-
C.
historicalTerritoryType
Indicates that a territory is classified according to a specific type or category it held during a historical period.
-
D.
hasTerritorialAssociation
Indicates a relationship where an entity is linked or connected to a specific territory, area, or geographic region.
-
E.
historicallyPartOf
Indicates that one entity was formerly a component, region, or subdivision of another entity during a past historical period, but is not necessarily part of it in the present.
- 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a101488190bd790b28033d38b9 |
completed | April 14, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69de05972f3881909977b4c843984f88 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:15 p.m.