Triple
T33382392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umonhonti |
E854817
|
entity |
| Predicate | hasTypeOfMateriality |
P1845
|
FINISHED |
| Object | wooden pole |
—
|
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: wooden pole | Statement: [Umonhonti, hasTypeOfMateriality, wooden pole]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfMateriality Context triple: [Umonhonti, hasTypeOfMateriality, wooden pole]
-
A.
hasMaterialType
chosen
Indicates that something is composed of, made from, or characterized by a specific type of material.
-
B.
hasMaterialSignificance
Indicates that something holds notable importance, relevance, or consequence in a given context or situation.
-
C.
materiality
Indicates that something has the quality of being material or physically substantial, as opposed to abstract or immaterial.
-
D.
hasMaterialRole
Indicates that an entity participates in an activity or context by fulfilling a specific material-related role or function.
-
E.
hasMaterialAspect
Indicates that something possesses a physical or tangible component or aspect as part of its overall nature or existence.
- 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_69f3496d54048190a1cb91fdd7caa6ea |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff0214d7348190904688376df99bce |
completed | May 9, 2026, 9:44 a.m. |
| PD | Predicate disambiguation | batch_69feffd62fec8190a855922c8b3c57cf |
completed | May 9, 2026, 9:35 a.m. |
Created at: May 1, 2026, 1:35 a.m.