Triple
T3402186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paros |
E71680
|
entity |
| Predicate | usedToProduce |
P490
|
FINISHED |
| Object | high-quality marble in antiquity |
—
|
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: high-quality marble in antiquity | Statement: [Paros, usedToProduce, high-quality marble in antiquity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedToProduce Context triple: [Paros, usedToProduce, high-quality marble in antiquity]
-
A.
produces
chosen
Indicates that one entity creates, generates, or yields another entity as a result or output.
-
B.
helpsProduce
Indicates that one entity contributes to or facilitates the creation, generation, or production of another entity.
-
C.
partOfProduction
Indicates that one entity functions as a component, segment, or phase within the overall process or structure of another production.
-
D.
increasesProductionOf
Indicates that one entity causes a rise or enhancement in the amount or rate at which another entity is produced.
-
E.
massProduced
Indicates that an item is manufactured in large quantities, typically using standardized, industrial production processes.
- 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_69ad85aac4808190a092c9cc8911f584 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb8c96d7c8190a1f9d035996f79e3 |
completed | March 8, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69adadfa73ac8190a163f93e88d217f8 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:14 p.m.