Triple
T8683090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dmanisi |
E206084
|
entity |
| Predicate | toolTechnology |
P41521
|
FINISHED |
| Object | simple core-and-flake industry |
—
|
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: simple core-and-flake industry | Statement: [Dmanisi, toolTechnology, simple core-and-flake industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: toolTechnology Context triple: [Dmanisi, toolTechnology, simple core-and-flake industry]
-
A.
toolIn
Indicates that one entity is a tool or instrument used in or associated with another entity or context.
-
B.
technologyType
Indicates the specific kind or category of technology associated with an entity or relationship.
-
C.
toolUsed
Indicates that an action or task is performed using a particular tool as the means or instrument.
-
D.
technologyUsedIn
chosen
Indicates that a particular technology is employed or applied within a specific process, product, context, or domain.
-
E.
technologyClass
Indicates the classification or category of technology to which an entity belongs.
- 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_69ca835379688190aa06b9d98e684d58 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4ae9da3c8190866e24970a7aeba3 |
completed | March 31, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69cc4567b5c881908d9ec5dcfc783fac |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:32 p.m.