Triple
T9128356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hadean Eon |
E219020
|
entity |
| Predicate | moonFormationHypothesis |
P87247
|
FINISHED |
| Object | giant impact hypothesis |
—
|
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: giant impact hypothesis | Statement: [Hadean Eon, moonFormationHypothesis, giant impact hypothesis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moonFormationHypothesis Context triple: [Hadean Eon, moonFormationHypothesis, giant impact hypothesis]
-
A.
studiedMoon
Indicates that an entity has conducted research on, observed, or otherwise systematically examined the Moon.
-
B.
largeMoon
Indicates that a moon has a size or diameter significantly greater than a typical or reference moon.
-
C.
isMoonOf
Indicates that one celestial body is a natural satellite orbiting another body, typically a planet or dwarf planet.
-
D.
hasLargestMoon
Indicates that, among a set of compared entities, this entity possesses the moon with the greatest size.
-
E.
primaryFormation
Indicates that one entity serves as the main or original formation or structural configuration associated with 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_69ca83debfc0819095800583e97ab10f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8cad9c0819082d61f53865ef0b4 |
completed | April 1, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69cc6601d77881908299d58db6e64937 |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc6a3c78388190a7436acc0e44ff55 |
completed | April 1, 2026, 12:43 a.m. |
Created at: March 30, 2026, 7:18 p.m.