Triple
T36358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Badwater Basin |
E719
|
entity |
| Predicate | nameOrigin |
P744
|
FINISHED |
| Object | named after a small spring-fed pool called Badwater |
—
|
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: named after a small spring-fed pool called Badwater | Statement: [Badwater Basin, nameOrigin, named after a small spring-fed pool called Badwater]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameOrigin Context triple: [Badwater Basin, nameOrigin, named after a small spring-fed pool called Badwater]
-
A.
ethnicOrigin
Indicates the relationship where an entity is associated with a particular ethnic group or ancestry.
-
B.
nameOf
chosen
Indicates that one entity is the name or designation of another entity.
-
C.
meaningOfNativeName
Indicates that one entity specifies the semantic meaning or translation of another entity’s native-language name.
-
D.
givenName
Indicates the personal first name assigned to an individual.
-
E.
hasDemonym
Indicates that one entity is the term (demonym) used to refer to the inhabitants or natives of another entity (typically a place).
- 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_69a247a8f6c08190bac804906d62ed5a |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24bb753f081909cd8b25cfb8e08af |
completed | Feb. 28, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69a24ab4a6908190b6f355415ffe7948 |
completed | Feb. 28, 2026, 1:53 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.