Triple
T4678699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Modoc County, California |
E103744
|
entity |
| Predicate | hasHighDesertPlateaus |
P58971
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Modoc County, California, hasHighDesertPlateaus, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHighDesertPlateaus Context triple: [Modoc County, California, hasHighDesertPlateaus, true]
-
A.
hasMajorDesert
Indicates that a region or country contains at least one large, significant desert within its territory.
-
B.
hasNearbyDesert
Indicates that one entity is located close to or in the vicinity of a desert region associated with another entity.
-
C.
hasMountainousTerrain
Indicates that a location or area possesses predominantly mountainous physical terrain or landscape features.
-
D.
locatedInDesertTransitionZone
Indicates that something is situated in a geographical area where desert conditions gradually transition into a different type of ecosystem.
-
E.
hasHigherElevationArea
Indicates that one area is situated at a greater elevation above sea level than another area.
- F. None of above. chosen
Provenance (4 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_69bd43dda32c8190938b37744ca270fc |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd67c9c3c08190a6c4944cdd1362a8 |
completed | March 20, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69bd6217e0088190836570522e324dc6 |
completed | March 20, 2026, 3:04 p.m. |
| PDg | Predicate description generation | batch_69bd67c895dc8190ba648002ff54424b |
completed | March 20, 2026, 3:29 p.m. |
Created at: March 20, 2026, 1:16 p.m.