Triple
T19940786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Νιόβη |
E479301
|
entity |
| Predicate | offspringCountAlternative |
P137924
|
FINISHED |
| Object | 12 |
—
|
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: 12 | Statement: [Νιόβη, offspringCountAlternative, 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offspringCountAlternative Context triple: [Νιόβη, offspringCountAlternative, 12]
-
A.
offspringCountApproximate
Indicates that the relationship specifies an estimated or approximate number of offspring associated with an entity.
-
B.
offspringWith
Indicates that two entities share a parent–child relationship, specifying that one is the offspring of the other.
-
C.
offspringType
Indicates the specific kind or category of offspring that results from a parent or reproductive event.
-
D.
numberOfOffspringPerBirth
Indicates the typical count of offspring produced in a single birth event for an entity.
-
E.
offspringGroup
Indicates that one entity is a group or collection composed of the offspring of another entity.
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a1a8df4819094e84855465df6c0 |
completed | April 20, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69e537f47c508190853c4e009c6b5566 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c136b081909cab9394b958390a |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:53 p.m.