Triple
T16831423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Titius–Bode law |
E409157
|
entity |
| Predicate | historicallyPredicted |
P125014
|
FINISHED |
| Object | position of Ceres |
—
|
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: position of Ceres | Statement: [Titius–Bode law, historicallyPredicted, position of Ceres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicallyPredicted Context triple: [Titius–Bode law, historicallyPredicted, position of Ceres]
-
A.
historicallyProneTo
Indicates that an entity has repeatedly or characteristically experienced or exhibited a particular condition, behavior, or event over a significant period in the past.
-
B.
estimatedHistory
Indicates that there is an inferred or approximated record of past states, events, or values associated with an entity or relationship.
-
C.
historicalOutcome
Indicates the result or consequence that an event, action, or situation produced in a historical context.
-
D.
historicallyIn
Indicates that one entity existed, occurred, or was situated within the historical context, period, or jurisdiction associated with another entity.
-
E.
historicallyBasedOn
Indicates that something is derived from, inspired by, or modeled on historical events, sources, or precedents.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b317af8c8190a09cb6d60d28e342 |
completed | April 18, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69e32b87b4248190aaddb05e88452356 |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e34fb7c8c8819086975b7955b7d8ef |
completed | April 18, 2026, 9:32 a.m. |
Created at: April 10, 2026, 5:23 a.m.