Triple
T22629729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2,4-D |
E558515
|
entity |
| Predicate | hasChloroSubstitutionPattern |
P148985
|
FINISHED |
| Object | 2,4-dichloro |
—
|
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: 2,4-dichloro | Statement: [2,4-D, hasChloroSubstitutionPattern, 2,4-dichloro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChloroSubstitutionPattern Context triple: [2,4-D, hasChloroSubstitutionPattern, 2,4-dichloro]
-
A.
hasChlorophyll
Indicates that one entity possesses or contains chlorophyll, typically as a component or characteristic of its biological makeup.
-
B.
containsAsSubstructure
Indicates that one structure includes another structure entirely within it as a component or embedded part.
-
C.
hasChemicalCluster
Indicates that one entity contains, is associated with, or is organized into a specific group or cluster of chemically related components or structures.
-
D.
hasChiralCenters
Indicates that a molecule possesses one or more chiral (stereogenic) centers, leading to possible stereoisomerism.
-
E.
containsChemical
Indicates that one entity includes or has within it a specified chemical substance.
- 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f16e3febd081909ff21abef1e4035d |
completed | April 29, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69ee62855558819080da946c7b35a160 |
completed | April 26, 2026, 7:07 p.m. |
| PDg | Predicate description generation | batch_69ee8841e9cc81908d23b34215e3be71 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:02 p.m.