Triple
T6805645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hannah |
E156297
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Santa Ana, California |
E34944
|
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: Santa Ana, California | Statement: [Hannah, associatedWith, Santa Ana, California]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santa Ana, California Context triple: [Hannah, associatedWith, Santa Ana, California]
-
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 landlocked agricultural municipality in the province of Pampanga in the Philippines, known for its farming communities and local festivals.
-
D.
Santa Ana
Santa Ana is a town in the Francisco Morazán Department of Honduras, located in the central region of the country near the capital, Tegucigalpa.
-
E.
Fontana, California
Fontana, California is a large suburban city in San Bernardino County known for its logistics hubs, industrial centers, and proximity to major Southern California freeways.
- 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_69c68826e6a48190a3d220b541e639de |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d3082dcc8190a84bc056236cc52e |
completed | March 27, 2026, 6:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7425a26d88190ab1e3de2e5596108 |
completed | March 28, 2026, 2:52 a.m. |
Created at: March 27, 2026, 2:16 p.m.