Triple
T946847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Bay |
E20431
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Los Gatos |
E92012
|
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: Los Gatos | Statement: [South Bay, contains, Los Gatos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Los Gatos Context triple: [South Bay, contains, Los Gatos]
-
A.
Los Gatos
chosen
Los Gatos is an affluent town in California’s Silicon Valley known for its historic downtown, upscale residential neighborhoods, and proximity to major tech companies.
-
B.
Blaze the Trail Cat
Blaze the Trail Cat is the energetic, feline-themed mascot who entertains fans at Portland Trail Blazers basketball games.
-
C.
Cat Country
Cat Country is a themed exhibit at the Memphis Zoo that showcases a variety of wild feline species in naturalistic habitats.
-
D.
Wildcats
Wildcats is the nickname for the University of Arizona’s athletic teams, most prominently its NCAA Division I football program.
-
E.
Jacob Cats
Jacob Cats was a prominent 17th-century Dutch poet, jurist, and statesman, best known for his didactic moral verses and influential role in the Dutch Republic.
- 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_69a493b0f2fc81908cd227480a5356a1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3bcad2481908b83575b2fb80d14 |
completed | March 1, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a826e7d55c8190b9b871caead76733 |
completed | March 4, 2026, 12:34 p.m. |
Created at: March 1, 2026, 7:40 p.m.