Triple
T12353531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avanos |
E294550
|
entity |
| Predicate | usesMaterialInPottery |
P1272
|
FINISHED |
| Object | local red clay |
—
|
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: local red clay | Statement: [Avanos, usesMaterialInPottery, local red clay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesMaterialInPottery Context triple: [Avanos, usesMaterialInPottery, local red clay]
-
A.
hasTypeOfPottery
Indicates that an entity is associated with or characterized by a specific type or category of pottery.
-
B.
hasPotteryType
Indicates that an entity is associated with or characterized by a specific type or category of pottery.
-
C.
materialUsed
chosen
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
D.
createdCeramicsIn
Indicates that an entity produced or crafted ceramic works in a particular place or location.
-
E.
usesFolkMaterial
Indicates that one entity incorporates or draws upon traditional folk materials, such as melodies, stories, or motifs, in relation to another entity.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f8aa33c8190b22b7dff9559b8ed |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ecb5efc819086a3530282278bb1 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:54 p.m.