Triple
T3670744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | tryptophan |
E77872
|
entity |
| Predicate | hasSideChain |
P50059
|
FINISHED |
| Object | indole group |
—
|
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: indole group | Statement: [tryptophan, hasSideChain, indole group]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSideChain Context triple: [tryptophan, hasSideChain, indole group]
-
A.
hasBside
Indicates that one item serves as the B-side counterpart or secondary track associated with another primary item, typically in a recording or media release.
-
B.
hasSideEvent
Indicates that an event is associated with an additional, related side event occurring alongside it.
-
C.
hasCross
Indicates that one entity possesses, displays, or is marked by a cross in relation to another entity or context.
-
D.
hasLateralStructure
Indicates that one entity possesses or exhibits a structural feature oriented to or located on its side(s).
-
E.
hasLanguageOnSides
Indicates that an object or medium features written or spoken language present on multiple sides or surfaces.
- 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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc42c96648190abbd5d23b25d6a6b |
completed | March 8, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69adb84a20288190a092e4a1b045fe3f |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb8e4ba948190a9b777cf7f788b96 |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:25 p.m.