Triple
T9271773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phillip Burton Wilderness |
E222844
|
entity |
| Predicate | humanUseLevel |
P85306
|
FINISHED |
| Object | largely undeveloped |
—
|
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: largely undeveloped | Statement: [Phillip Burton Wilderness, humanUseLevel, largely undeveloped]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: humanUseLevel Context triple: [Phillip Burton Wilderness, humanUseLevel, largely undeveloped]
-
A.
hasUsageLevel
chosen
Indicates the degree or intensity with which something is used or utilized.
-
B.
recreationUseLevel
Indicates the intensity or degree to which an entity is used for recreational activities.
-
C.
usageType
Indicates the specific manner, purpose, or context in which something is used or intended to be used.
-
D.
primaryHumanUse
Indicates the main way humans typically use, interact with, or benefit from the referenced entity.
-
E.
typicalEquipmentLevel
Indicates the usual or standard amount or quality of equipment associated with an entity or situation.
- 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_69ca841ffe208190aa7bcffbef2f8379 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd07865790819099b3865a25dae58a |
completed | April 1, 2026, 11:54 a.m. |
| PD | Predicate disambiguation | batch_69cc7a537bbc8190baee71f556e52a7b |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:33 p.m.