Triple
T16014087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California State Route 85 |
E388416
|
entity |
| Predicate | connectsCity |
P4245
|
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: [California State Route 85, connectsCity, Los Gatos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Los Gatos Context triple: [California State Route 85, connectsCity, 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.
Los Felinos
Los Felinos is a popular nickname for the Mexican football club Tigres UANL, highlighting the team’s feline-themed identity and fierce playing style.
-
C.
Mata La Gata
Mata La Gata is a small mangrove cay and popular natural swimming and snorkeling spot off the coast of Lajas in southwestern Puerto Rico.
-
D.
Gatti
Gatti is an Italian surname shared by various notable individuals, including conductor Daniele Gatti.
-
E.
Gato
Gato is the nickname of Argentine jazz saxophonist and composer Gato Barbieri, known for his passionate playing style and contributions to Latin jazz.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18292b79881908efac869603c4029 |
completed | April 17, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf284fa481909b571d1bf107fca4 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:55 a.m.