Triple
T7210099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Filabusi |
E149378
|
entity |
| Predicate | hasCommodity |
P3553
|
FINISHED |
| Object | gold |
—
|
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: gold | Statement: [Filabusi, hasCommodity, gold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommodity Context triple: [Filabusi, hasCommodity, gold]
-
A.
hasProduct
Indicates that an entity possesses, offers, or is associated with a particular product.
-
B.
commodity
chosen
Indicates that one entity is a tradable good or resource that is bought, sold, or exchanged in relation to another entity.
-
C.
commodityType
Indicates the classification of a good or product according to its type or category within a commodity system.
-
D.
handlesCommodity
Indicates that one entity is responsible for dealing with, managing, or processing a particular commodity in some operational or transactional capacity.
-
E.
hasMiningCommodity
Indicates that an entity is associated with, produces, or contains a specific mining-related commodity.
- 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_69c687eca814819095abb52316b1af80 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e96c46dc819080a6b40456d7b068 |
completed | March 27, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69c6e75f84e481909e7866186ae80cff |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:53 p.m.