Triple
T3858152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nara people |
E90068
|
entity |
| Predicate | associatedRiverRegion |
P15504
|
FINISHED |
| Object | Gash River area |
—
|
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: Gash River area | Statement: [Nara people, associatedRiverRegion, Gash River area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedRiverRegion Context triple: [Nara people, associatedRiverRegion, Gash River area]
-
A.
closelyAssociatedRiver
chosen
Indicates a river that is geographically or functionally closely connected to the subject, such as flowing nearby, through, or otherwise strongly linked to it.
-
B.
hasRiver
Indicates that a location or area contains, is traversed by, or is directly associated with a river.
-
C.
locatedBetweenRivers
Indicates that something is situated in the area or region bounded or flanked by two rivers.
-
D.
hasCityOnRiver
Indicates that a city is located on or along the course of a particular river.
-
E.
hasTownOnRiver
Indicates that a town is situated on or directly adjacent to a particular river.
- 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_69aed95b3c088190a8f85d19e6070599 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec1e68f88190941c39221486f6ae |
completed | March 9, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69aee752c8a48190a670f73ed0bf1e61 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:19 p.m.