Triple
T30000111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serra da Estrela cheese |
E762142
|
entity |
| Predicate | consistencyWhenMature |
P91783
|
FINISHED |
| Object | semi-soft |
—
|
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: semi-soft | Statement: [Serra da Estrela cheese, consistencyWhenMature, semi-soft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consistencyWhenMature Context triple: [Serra da Estrela cheese, consistencyWhenMature, semi-soft]
-
A.
maturity
Indicates that an entity has reached a specified stage of development, completeness, or readiness, often marking the point at which certain rights, obligations, or behaviors become applicable.
-
B.
maturesIn
Indicates that an entity reaches full development, ripeness, or maturity within a specified time period or under certain conditions.
-
C.
hasConsistency
chosen
Indicates that one entity maintains a stable, uniform, or coherent state, behavior, or set of properties in relation to another entity or over time.
-
D.
maturityType
Indicates the kind or category of maturity associated with an entity, such as how or when an obligation, product, or process reaches its full or due state.
-
E.
maturesLateComparedTo
Indicates that one entity reaches maturity significantly later in time than another entity used as a reference.
- 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_69f2246a47ac81909cf5213053687ffc |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67d3624248190a36a9b2d2e9778d4 |
completed | May 2, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 6:41 p.m.