Triple
T9201361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palm Desert Campus |
E220846
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Palm Desert |
E180135
|
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: Palm Desert | Statement: [Palm Desert Campus, city, Palm Desert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Palm Desert Context triple: [Palm Desert Campus, city, Palm Desert]
-
A.
Palm Desert
chosen
Palm Desert is a resort city in Southern California known for its golf courses, upscale shopping, and desert landscapes.
-
B.
Rancho Mirage
Rancho Mirage is an affluent resort city in Southern California known for its golf courses, luxury hotels, and desert climate.
-
C.
Cathedral City
Cathedral City is a desert community in Southern California known as a residential and resort city within the Greater Palm Springs area.
-
D.
Twentynine Palms, California
Twentynine Palms, California is a small desert city in Southern California known as a gateway to Joshua Tree National Park and for its proximity to the Marine Corps Air Ground Combat Center.
-
E.
Palm Springs
Palm Springs is a desert resort city in Southern California known for its mid-century modern architecture, hot springs, golf courses, and tourism.
- 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_69ca83e8e9248190862cf3e41693b310 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd9429b448190a078e9cdfedd4918 |
completed | April 1, 2026, 8:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d139b350e08190a68f8870433f6bae |
completed | April 4, 2026, 4:17 p.m. |
Created at: March 30, 2026, 7:25 p.m.