Triple
T36954336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Athena’s Fortune |
E914149
|
entity |
| Predicate | rewardLevel |
P183294
|
FINISHED |
| Object | Very high |
—
|
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: Very high | Statement: [Athena’s Fortune, rewardLevel, Very high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rewardLevel Context triple: [Athena’s Fortune, rewardLevel, Very high]
-
A.
rankingPointsAwardedBy
Indicates the number of ranking points granted by a particular source or authority to an entity.
-
B.
rewardScope
Indicates the extent, range, or conditions under which a reward applies within a given context or system.
-
C.
rewardPotential
chosen
Indicates the degree to which an action, option, or outcome is expected to yield positive benefits or rewards.
-
D.
achievementLevel
Indicates the degree or extent to which an entity has attained a particular goal, standard, or performance outcome.
-
E.
rewardUnit
Indicates that one entity serves as the unit or measure in which a reward is quantified or granted to another entity.
- 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_69f76e8b28848190abd81fe7a7374910 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:13 p.m.