Triple
T33729621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | province of Öland |
E864235
|
entity |
| Predicate | StoraAlvaretInstanceOf |
P177253
|
FINISHED |
| Object | limestone pavement |
—
|
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: limestone pavement | Statement: [province of Öland, StoraAlvaretInstanceOf, limestone pavement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: StoraAlvaretInstanceOf Context triple: [province of Öland, StoraAlvaretInstanceOf, limestone pavement]
-
A.
sonInstanceOf
Indicates that an entity is a specific instance or example of the general concept or class represented by "son."
-
B.
RavenInstanceOf
Indicates that a given entity is classified as an instance of the category or class "Raven."
-
C.
architectInstanceOf
Indicates that an architect is an instance or specific example of a more general architect class or type.
-
D.
TaygeteInstanceOf
Indicates that Taygete is classified as an instance of a specified type, category, or class.
-
E.
autoreInstanceOf
Indicates that one entity is an automatically generated or system-created instance of another entity or class.
- F. None of above. chosen
Provenance (4 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_69f3498a64cc8190b4b414c67b280d93 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb1c700c8190ad1286b4df5268c5 |
completed | May 3, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fa335b908190a20d92d5396203b5 |
completed | May 3, 2026, 7:33 a.m. |
Created at: May 1, 2026, 1:44 a.m.