Triple
T3891992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thargelia |
E88082
|
entity |
| Predicate | hasOfferingType |
P34857
|
FINISHED |
| Object | first fruits |
—
|
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: first fruits | Statement: [Thargelia, hasOfferingType, first fruits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfferingType Context triple: [Thargelia, hasOfferingType, first fruits]
-
A.
offeringType
chosen
Indicates the category or nature of what is being offered in a transaction or interaction (e.g., product, service, or other type of offering).
-
B.
isOfferedBy
Indicates that a service, product, or opportunity is provided or made available by a particular entity.
-
C.
offersServiceType
Indicates that one entity provides or makes available a specific type or category of service to another entity or the public.
-
D.
hasServiceType
Indicates that an entity is associated with or categorized by a particular type of service.
-
E.
offeredEngineType
Indicates that a particular type of engine is made available or provided as an option in a given context.
- 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_69aed9466d548190939f5217a23ed4ac |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1abe2dc81909c18aeae9b286898 |
completed | March 9, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69aee75b5b808190a348a31b1325d3d0 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:21 p.m.