Triple
T15475385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oakland Estuary |
E376769
|
entity |
| Predicate | separates |
P1175
|
FINISHED |
| Object | City of Alameda |
E1088902
|
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: City of Alameda | Statement: [Oakland Estuary, separates, City of Alameda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Alameda Context triple: [Oakland Estuary, separates, City of Alameda]
-
A.
City of Alameda
chosen
The City of Alameda is a Bay Area island municipality in California known for its historic Victorian architecture, waterfront neighborhoods, and proximity to San Francisco.
-
B.
Alameda
Alameda is a major Lisbon metro and transport hub that serves as a key interchange point within the city's public transit network.
-
C.
Alameda
Alameda is the main central avenue of Santiago, Chile, serving as a key thoroughfare and symbolic axis of the city.
-
D.
City of San Pablo
The City of San Pablo is a small, historically working-class municipality in Contra Costa County, California, located in the East Bay region just north of Richmond.
-
E.
City of Pacifica
The City of Pacifica is a coastal municipality in San Mateo County, California, known for its scenic beaches, rugged bluffs, and popular surfing spots just south of San Francisco.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f6e859481909c3d08343b7ad27c |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2d093ccc8190aefc355a837c83f4 |
completed | May 9, 2026, 12:48 p.m. |
Created at: April 10, 2026, 3:34 a.m.