Triple
T10697299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sigma Capricornids |
E252177
|
entity |
| Predicate | meteorCount |
P95337
|
FINISHED |
| Object | relatively few meteors |
—
|
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: relatively few meteors | Statement: [Sigma Capricornids, meteorCount, relatively few meteors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meteorCount Context triple: [Sigma Capricornids, meteorCount, relatively few meteors]
-
A.
numberLandedOnMoon
Indicates the count of distinct entities that have successfully landed on the Moon.
-
B.
meteoroidSource
Indicates that one entity is the origin or source from which the meteoroid represented by the other entity comes.
-
C.
meteorBrightness
Indicates the observed luminous intensity or apparent brightness of a meteor during its visible passage.
-
D.
numberFlownToMoon
Indicates the number of times an entity has traveled to or reached the Moon.
-
E.
evaCountOnLunarSurface
Indicates the number of extravehicular activities (spacewalks) performed on the lunar surface.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd89390c8190969ab2b4a79d5818 |
completed | April 9, 2026, 1:14 a.m. |
| PD | Predicate disambiguation | batch_69d6dd8cc0788190b4c02a772e4b58b3 |
completed | April 8, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69d6df47899481909ac0e518d94883cb |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 8, 2026, 9:12 p.m.