Triple
T6190960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | eastern Nevada |
E138387
|
entity |
| Predicate | majorTown |
P316
|
FINISHED |
| Object | Caliente |
E200182
|
NE 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: Caliente | Statement: [eastern Nevada, majorTown, Caliente]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caliente Context triple: [eastern Nevada, majorTown, Caliente]
-
A.
Caliente
chosen
Caliente is a small city in southeastern Nevada known for its historic railroad depot, hot springs, and scenic desert surroundings.
-
B.
Caliente
Caliente is an alternative name for the Kawaiisu language, a Native American language traditionally spoken by the Kawaiisu people of California.
-
C.
Hot & Wet
"Hot & Wet" is a 2003 R&B album by American group 112 that blends smooth ballads with club-oriented tracks.
-
D.
El Scorcho
"El Scorcho" is an alternative rock song by the American band Weezer, known for its confessional lyrics and offbeat, emotionally charged style.
-
E.
El Jaleo
El Jaleo is a dramatic 1882 painting by John Singer Sargent depicting a Spanish gypsy dancer performing with musicians in a shadowy, theatrical setting.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c008ab9b3081908a11b2c744838435 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0623ff0bc8190951512245a38f541 |
completed | March 22, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f0d5a2881908564442aca29b1ec |
completed | March 23, 2026, 4:49 p.m. |
Created at: March 22, 2026, 4:19 p.m.