Triple
T9877978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalamazoo Stove Company |
E240120
|
entity |
| Predicate | primaryMaterialDomain |
P1272
|
FINISHED |
| Object | cast-iron stoves |
—
|
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: cast-iron stoves | Statement: [Kalamazoo Stove Company, primaryMaterialDomain, cast-iron stoves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryMaterialDomain Context triple: [Kalamazoo Stove Company, primaryMaterialDomain, cast-iron stoves]
-
A.
primaryTargetMaterial
Indicates the material that serves as the main or principal target in a given process, action, or interaction.
-
B.
primaryProduct
Indicates that one entity is the main or most important product associated with, produced by, or offered by another entity.
-
C.
featuresMaterialFrom
Indicates that one entity incorporates, contains, or is composed of material originating from another entity.
-
D.
MatterDomain
Indicates the subject operates within, concerns, or belongs to a particular field, area, or domain of matter or subject matter.
-
E.
materialUsed
chosen
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
- 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_69ca84e8a0788190b9061811d50fd554 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb411fc78819082c52ae4233a6550 |
completed | April 2, 2026, 12:10 a.m. |
| PD | Predicate disambiguation | batch_69cd1d810ed48190a252b70e9390c8f3 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:37 p.m.