Triple
T22813545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Υ(4S) |
E565043
|
entity |
| Predicate | hasFlavorContent |
P149822
|
FINISHED |
| Object | bottom–antibottom quark pair |
—
|
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: bottom–antibottom quark pair | Statement: [Υ(4S), hasFlavorContent, bottom–antibottom quark pair]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFlavorContent Context triple: [Υ(4S), hasFlavorContent, bottom–antibottom quark pair]
-
A.
hasFlavorType
Indicates that an entity possesses or is characterized by a particular type or category of flavor.
-
B.
isFlavored
Indicates that one entity imparts a particular taste or flavor characteristic to another entity.
-
C.
hasSecondaryFlavor
Indicates that an entity possesses an additional, subordinate flavor characteristic beyond its primary flavor.
-
D.
hasFlavorSequence
Indicates that one entity possesses or exhibits a specific ordered sequence of flavors associated with it.
-
E.
isOfficialFlavorOf
Indicates that one item is formally recognized or designated as an official flavor associated with another entity (such as a brand, product line, or event).
- 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_69e2458426188190b58b8ab4844fe420 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d61c6f081908d3911710b3aff51 |
completed | April 29, 2026, 3:39 a.m. |
| PD | Predicate disambiguation | batch_69eed2cb30f481909566369f515f6eff |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb5681f88190821129ced752f190 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:32 p.m.