Triple
T11501701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cossack sabers (shashka) |
E272677
|
entity |
| Predicate | hiltMaterial |
P1272
|
FINISHED |
| Object | wood |
—
|
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: wood | Statement: [Cossack sabers (shashka), hiltMaterial, wood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hiltMaterial Context triple: [Cossack sabers (shashka), hiltMaterial, wood]
-
A.
materialUsed
chosen
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
B.
summitMaterial
Indicates that the material specified is what composes or covers the summit (top) of an object or geographic feature.
-
C.
featuresMaterialFrom
Indicates that one entity incorporates, contains, or is composed of material originating from another entity.
-
D.
materialFound
Indicates that a particular material is present, discovered, or detected in association with a specified entity or location.
-
E.
hasCrewCompartmentMaterial
Indicates that an entity’s crew compartment is made of, or incorporates, a specified 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85de55cbc8190be71c2d03dc044f2 |
completed | April 10, 2026, 2:18 a.m. |
| PD | Predicate disambiguation | batch_69d808736c5c8190899b5b3b2e797f65 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.