Triple
T4678700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Modoc County, California |
E103744
|
entity |
| Predicate | hasExtensivePublicLands |
P58972
|
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, hasExtensivePublicLands, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExtensivePublicLands Context triple: [Modoc County, California, hasExtensivePublicLands, true]
-
A.
percentagePublicLand
Indicates the proportion of land within a given area that is owned or managed by public authorities rather than private entities.
-
B.
isPublicLand
Indicates that a given area of land is owned or managed by a government or public authority and is accessible or designated for use by the general public.
-
C.
hasConservationLand
Indicates that an entity possesses, manages, or is associated with land designated for environmental or natural resource conservation.
-
D.
hasNationalForest
Indicates that a place or jurisdiction contains, includes, or is home to at least one designated national forest.
-
E.
hasNationalParkSystem
Indicates that a country or region maintains an organized, officially designated system of national parks under its governance.
- 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.