Triple
T5773860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Smoky Valley |
E127390
|
entity |
| Predicate | hasPrimaryLandOwnership |
P41739
|
FINISHED |
| Object | federal land |
—
|
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: federal land | Statement: [Big Smoky Valley, hasPrimaryLandOwnership, federal land]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryLandOwnership Context triple: [Big Smoky Valley, hasPrimaryLandOwnership, federal land]
-
A.
hasLandOwnershipMix
Indicates that an entity has a particular combination or distribution of different types of land ownership (e.g., public, private, communal) associated with it.
-
B.
hasLandStatus
chosen
Indicates that an entity possesses a particular legal or administrative status regarding land (such as ownership, tenure, protection, or use designation).
-
C.
hasLandAllotmentDescribedIn
Indicates that an entity’s land allotment is specified or detailed in a particular document or description.
-
D.
majorLandowner
Indicates that one entity owns a large or dominant portion of land in relation to another entity or area.
-
E.
requiredShareOfLand
Indicates the proportion or amount of land that must be allocated or possessed to satisfy a specified requirement or rule.
- F. None of above.
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_69c008361fa88190aefa4dc41b051e7f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02acb12c081908e4beee4a957f9f9 |
completed | March 22, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69c021d0c6088190ba670ddcdbf5ca3e |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:50 p.m.