Triple
T779657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diablo Range |
E16466
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Livermore |
E80022
|
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: Livermore | Statement: [Diablo Range, nearbyCity, Livermore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Livermore Context triple: [Diablo Range, nearbyCity, Livermore]
-
A.
Livermore
chosen
Livermore is a city in California’s Tri-Valley region known for its wine country, historic downtown, and proximity to major scientific research facilities.
-
B.
Groves
Groves is a surname most notably associated with U.S. Army General Leslie R. Groves Jr., who directed the Manhattan Project during World War II.
-
C.
Westwood
Westwood is a prominent Los Angeles neighborhood best known as the home of UCLA and the popular Westwood Village commercial district.
-
D.
Downey
Downey is the surname of American actor Robert Downey Jr., widely known for his versatile film career and iconic role as Iron Man in the Marvel Cinematic Universe.
-
E.
Twain Harte
Twain Harte is a small mountain resort town in California’s Sierra Nevada known for its pine forests, outdoor recreation, and proximity to Yosemite National Park.
- 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_69a4936ad1fc81908f190208059ccf78 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a750c6708190a3f2c3abf16b4ea4 |
completed | March 1, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d7a0a088190972b9505ecd43d65 |
completed | March 3, 2026, 11:23 p.m. |
Created at: March 1, 2026, 7:37 p.m.