Triple
T38349699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rio Frio, Texas |
E1041641
|
entity |
| Predicate | riverNameMeaning |
P190797
|
FINISHED |
| Object | Frio means "cold" in Spanish |
—
|
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: Frio means "cold" in Spanish | Statement: [Rio Frio, Texas, riverNameMeaning, Frio means "cold" in Spanish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: riverNameMeaning Context triple: [Rio Frio, Texas, riverNameMeaning, Frio means "cold" in Spanish]
-
A.
riverAlsoKnownAs
Indicates that a river has an alternative name or alias by which it is also known.
-
B.
riverDeityOf
Indicates a relationship where a deity is specifically associated with, protects, or presides over a particular river.
-
C.
watercourseNameLanguage
Indicates the language in which the name of a watercourse (such as a river or stream) is expressed.
-
D.
featuresRiverPersonifications
Indicates that something includes or depicts personified representations of rivers as characters or agents.
-
E.
riverMentioned
Indicates that a river is referenced or discussed in the given context or data.
- 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_69f76e2ad95481908c920c0e5c1c3e26 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
| PDg | Predicate description generation | batch_69fcd148e6d4819082c118832ecc599b |
completed | May 7, 2026, 5:52 p.m. |
Created at: May 3, 2026, 4:30 p.m.