Triple
T18210605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merced City Hall |
E436021
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Merced |
—
|
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: Merced | Statement: [Merced City Hall, locatedIn, Merced]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Merced Context triple: [Merced City Hall, locatedIn, Merced]
-
A.
Merced
chosen
Merced is a city in California’s San Joaquin Valley known as a gateway to Yosemite National Park and home to the University of California, Merced.
-
B.
Merced
Merced was the original codename for Intel and Hewlett-Packard’s first-generation Itanium 64-bit server processor.
-
C.
Merced
Merced is a metro station on Mexico City’s Line 1 that serves the busy commercial area surrounding the historic La Merced market.
-
D.
Modesto
Modesto is a mid-sized city in California’s Central Valley known for its agricultural economy, historic connection to the railroads, and as the hometown setting inspiration for George Lucas’s film "American Graffiti."
-
E.
Modesto
Modesto was a prominent Spanish Republican military commander during the Spanish Civil War.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e228a7fc81909cfcf11cf7ce1360 |
completed | April 19, 2026, 2:09 p.m. |
Created at: April 10, 2026, 10:32 a.m.