Triple
T10489192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alpha Capricornids |
E247368
|
entity |
| Predicate | fireballFrequency |
P94588
|
FINISHED |
| Object | higher-than-average proportion of fireballs |
—
|
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: higher-than-average proportion of fireballs | Statement: [Alpha Capricornids, fireballFrequency, higher-than-average proportion of fireballs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fireballFrequency Context triple: [Alpha Capricornids, fireballFrequency, higher-than-average proportion of fireballs]
-
A.
fireFrequency
Indicates how often fire occurs or is expected to occur within a given area or time period.
-
B.
fireEffect
Indicates that one entity produces, causes, or is associated with a fire-related impact or consequence on another entity.
-
C.
rateOfFire
Indicates the frequency at which a weapon or system can discharge projectiles or shots over a given period of time.
-
D.
hasFrequentExplosions
Indicates that the subject regularly experiences or produces explosions occurring at short or recurring intervals.
-
E.
fireModes
Indicates the different ways or settings in which a weapon or device can be fired or operated.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097ca5c081908b47a08ca7885650 |
completed | April 7, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69d4fb8a30848190b33cf43f005a028e |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d5092af880819082b42c0a68e45c5f |
completed | April 7, 2026, 1:39 p.m. |
Created at: April 6, 2026, 12:23 p.m.