Triple
T33790767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | camphechlor |
E865924
|
entity |
| Predicate | hasTypicalChlorineContent |
P9714
|
FINISHED |
| Object | 67–69 percent by weight |
—
|
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: 67–69 percent by weight | Statement: [camphechlor, hasTypicalChlorineContent, 67–69 percent by weight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalChlorineContent Context triple: [camphechlor, hasTypicalChlorineContent, 67–69 percent by weight]
-
A.
chlorineValueApprox
chosen
Indicates that the chlorine value of an entity is approximately equal to a specified reference value, allowing for some margin of deviation.
-
B.
chlorination
Indicates the process or action of treating or reacting something with chlorine, typically to disinfect, bleach, or chemically modify it.
-
C.
hasChloroSubstitutionPattern
Indicates that one chemical structure exhibits a specific positional pattern of chlorine atom substitutions relative to another structure or reference pattern.
-
D.
hasChlorophyll
Indicates that one entity possesses or contains chlorophyll, typically as a component or characteristic of its biological makeup.
-
E.
containsChemical
Indicates that one entity includes or has within it a specified chemical substance.
- F. None of above.
Provenance (3 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_69f3498f99f481909cb271f4965a7594 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff17be6ad48190963206f2619b1b28 |
completed | May 9, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_69ff1724ba24819092c928fcbcb286ec |
completed | May 9, 2026, 11:14 a.m. |
Created at: May 1, 2026, 1:45 a.m.