Triple
T37142585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nenning |
E920154
|
entity |
| Predicate | coastTypeAtMouth |
P53471
|
FINISHED |
| Object | Falas coast |
—
|
NE NERFINISHED |
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: Falas coast | Statement: [Nenning, coastTypeAtMouth, Falas coast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coastTypeAtMouth Context triple: [Nenning, coastTypeAtMouth, Falas coast]
-
A.
riverMouthType
chosen
Indicates the type or form of the feature where a river meets a larger body of water.
-
B.
isTidalMouthOf
Indicates that one location is the tidal mouth or estuarine outlet through which a river or watercourse enters a larger body of water.
-
C.
riverMouthAt
Indicates that the mouth or endpoint of a river is located at a specified place or geographic feature.
-
D.
hasWetlandsAtMouth
Indicates that a watercourse or water body has wetlands located at or surrounding its mouth where it meets another body of water.
-
E.
riverMouthRegion
Indicates the region or area where a river flows into a larger body of water, such as a sea, lake, or another 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_69f76e9e9d008190a250b0387c992c74 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb344c60f8819090f2e21e1e61d621 |
completed | May 6, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69fb2f642db08190b562725502c74ea6 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:15 p.m.