Triple
T22635544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orange County coastal plain |
E558670
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | Santa Ana |
—
|
NE NERFINISHED |
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: Santa Ana | Statement: [Orange County coastal plain, includes, Santa Ana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santa Ana Context triple: [Orange County coastal plain, includes, Santa Ana]
-
A.
Santa Ana
chosen
Santa Ana is a major city in Orange County, California, known as a dense urban and governmental center within the Greater Los Angeles metropolitan area.
-
B.
Santa Ana
Santa Ana is a barangay (village-level administrative division) within the highly urbanized city of Taguig in Metro Manila, Philippines.
-
C.
Santa Ana
Santa Ana is a suburban city in Costa Rica known for its upscale residential areas, commercial development, and proximity to the capital, San José.
-
D.
Santa Ana
Santa Ana is a small inhabited island in the Solomon Islands’ Makira-Ulawa Province, known for its traditional culture and coastal village communities.
-
E.
Santa Ana
Santa Ana is a coastal municipality in the province of Cagayan in the Philippines, known for its beaches, marine biodiversity, and the Cagayan Special Economic Zone.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1700d492081909bab8d9dbb1faef2 |
completed | April 29, 2026, 2:42 a.m. |
Created at: April 17, 2026, 3:03 p.m.