Triple
T26939111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ljubljana Marshes |
E678462
|
entity |
| Predicate | oldestWheelDatedTo |
P161341
|
FINISHED |
| Object | circa 3200 BCE |
—
|
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: circa 3200 BCE | Statement: [Ljubljana Marshes, oldestWheelDatedTo, circa 3200 BCE]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oldestWheelDatedTo Context triple: [Ljubljana Marshes, oldestWheelDatedTo, circa 3200 BCE]
-
A.
oneOfTheOldestOn
Indicates that one entity is among the earliest or longest-existing examples within the set defined by another entity.
-
B.
earliestConstructionAttributedTo
Indicates that one entity is recognized as the earliest known construction project or built work attributed to another entity (such as a person, group, or organization).
-
C.
oldestBuildingDate
Indicates the calendar date on which the earliest or first-constructed building in a given set or area was built or completed.
-
D.
earliestWellKnownExample
Indicates that one entity is the earliest well-known example or instance of the other entity.
-
E.
oneOfOldestManufacturersIn
Indicates that an entity is among the earliest-established manufacturers operating within a specified location or region.
- 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_69eeeb4d69588190a7c912164a1c37b3 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f62051d4388190a043bae51a734e8d |
completed | May 2, 2026, 4:03 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
| PDg | Predicate description generation | batch_69f6125e54e0819088ee33a20efcc9e6 |
completed | May 2, 2026, 3:03 p.m. |
Created at: April 27, 2026, 6:17 a.m.