Triple
T2651260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irving family |
E53902
|
entity |
| Predicate | forestryActivity |
P41063
|
FINISHED |
| Object | timberlands management and wood products manufacturing |
—
|
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: timberlands management and wood products manufacturing | Statement: [Irving family, forestryActivity, timberlands management and wood products manufacturing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: forestryActivity Context triple: [Irving family, forestryActivity, timberlands management and wood products manufacturing]
-
A.
forestArea
Indicates the extent or size of land covered by forest within a given area or region.
-
B.
isUrbanForest
Indicates that an area of trees and vegetation is located within or closely integrated with an urban or suburban environment.
-
C.
pastoralActivities
Indicates activities related to providing spiritual care, guidance, or religious leadership within a community.
-
D.
locatedInForest
Indicates that an entity is situated within the boundaries of a forest.
-
E.
forestCoverCharacteristic
Indicates a relationship where a forested area possesses a specific attribute or quality related to its tree or vegetation cover.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd93071248190820197936e3167f7 |
completed | March 7, 2026, 7:52 a.m. |
| PD | Predicate disambiguation | batch_69abd814298c8190952f05aed43f6bb8 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd879bb808190bd2c34de1664c816 |
completed | March 7, 2026, 7:49 a.m. |
Created at: March 6, 2026, 9:53 p.m.