Triple
T3079627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alpine County |
E64223
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Monitor Pass |
E58088
|
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: Monitor Pass | Statement: [Alpine County, contains, Monitor Pass]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monitor Pass Context triple: [Alpine County, contains, Monitor Pass]
-
A.
Monitor Pass
chosen
Monitor Pass is a high mountain roadway in California’s Sierra Nevada known for its scenic views and seasonal closures due to heavy snowfall.
-
B.
Monitor
Monitor was the former independent regulator of NHS foundation trusts in England, overseeing their financial and governance performance before being merged into NHS Improvement.
-
C.
CSMonitor
CSMonitor is the abbreviated name for The Christian Science Monitor, an international news organization known for in-depth, balanced journalism.
-
D.
Monitor Range
Monitor Range is a remote mountain range in central Nevada known for its high desert peaks, sagebrush-covered slopes, and relatively undeveloped wilderness character.
-
E.
MarkMonitor
MarkMonitor is a brand protection and anti-counterfeiting company that helps businesses safeguard their trademarks, domains, and digital assets online.
- 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_69ad857bb4c88190a4cf27893fcabed8 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1a9d61081909953eb2f4ad4537e |
completed | March 8, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f890a21c8190bcb78fe5c9ec6e75 |
completed | March 11, 2026, 11:19 p.m. |
Created at: March 8, 2026, 3:03 p.m.