Triple
T16200317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ganymede (mythology) |
E393180
|
entity |
| Predicate | compensationToFamilyByZeus |
P122133
|
FINISHED |
| Object | divine horses |
—
|
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: divine horses | Statement: [Ganymede (mythology), compensationToFamilyByZeus, divine horses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compensationToFamilyByZeus Context triple: [Ganymede (mythology), compensationToFamilyByZeus, divine horses]
-
A.
compensationModel
Indicates the type or structure of payment or rewards provided in exchange for work, services, or performance.
-
B.
compensationProgram
Indicates a relationship where an entity provides or participates in a structured plan that offers payment or benefits in return for work, services, or losses.
-
C.
compensationCategory
Indicates the type or classification of compensation associated with an entity, such as how or in what form payment or remuneration is provided.
-
D.
providedCompensationAmount
Indicates the specific amount of compensation that was given or agreed to be given in relation to an action, event, or obligation.
-
E.
eligibleFamily
Indicates that one entity qualifies as a family member of another under specified eligibility rules or criteria.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e22709b0d88190b40787e0520d02ab |
completed | April 17, 2026, 12:26 p.m. |
| PD | Predicate disambiguation | batch_69e219e11f6081909106b1240a17fd37 |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e55a2388190b29a045a8c608ba4 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:03 a.m.