Triple
T15234975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norbury Park Sawmill |
E364101
|
entity |
| Predicate | hasMaterialProcessed |
P1410
|
FINISHED |
| Object | timber |
—
|
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: timber | Statement: [Norbury Park Sawmill, hasMaterialProcessed, timber]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMaterialProcessed Context triple: [Norbury Park Sawmill, hasMaterialProcessed, timber]
-
A.
hasMaterialResource
Indicates that an entity possesses, controls, or has access to a tangible material resource.
-
B.
hasMaterialImport
Indicates that one entity has another entity as a significant or primary material used in its composition or production.
-
C.
hasMaterialType
Indicates that something is composed of, made from, or characterized by a specific type of material.
-
D.
hasProcess
chosen
Indicates that an entity is associated with, participates in, or is characterized by a particular process.
-
E.
hasSourceMaterial
Indicates that something is derived from, based on, or created using a particular source material.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007d91e4881908ea52d11a3d4480a |
completed | April 15, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69deca899d5c8190be4a7c71e1683c69 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:12 a.m.