Triple
T31918723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tapanahony River |
E814908
|
entity |
| Predicate | watercourseLanguageRegion |
P192503
|
FINISHED |
| Object | Sranan Tongo-speaking communities |
—
|
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: Sranan Tongo-speaking communities | Statement: [Tapanahony River, watercourseLanguageRegion, Sranan Tongo-speaking communities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: watercourseLanguageRegion Context triple: [Tapanahony River, watercourseLanguageRegion, Sranan Tongo-speaking communities]
-
A.
watercourseNameLanguage
Indicates the language in which the name of a watercourse (such as a river or stream) is expressed.
-
B.
watercourseThroughRegion
Indicates that a watercourse (such as a river or stream) passes through or traverses a specified region.
-
C.
watercourseIDCountry
Indicates that a specific watercourse is associated with, located in, or flows through a particular country.
-
D.
regionOfMajorLanguage
Indicates the geographic region where a particular language is predominantly spoken or holds major usage.
-
E.
waterSourceRegion
Indicates that a specified region serves as the geographic source or origin area of a particular body or supply of water.
- F. None of above. chosen
Provenance (4 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_69f348f1df848190851bbfb988da3414 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd0d0ba5c48190bddb3f0e6637544c |
completed | May 7, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69fd0c4324a8819086c90adf46216e0e |
completed | May 7, 2026, 10:03 p.m. |
| PDg | Predicate description generation | batch_69fd0d0aebac8190868a7714ddb4f1fd |
completed | May 7, 2026, 10:07 p.m. |
Created at: May 1, 2026, 12:02 a.m.