Triple
T35886598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marlex polyethylene |
E1037660
|
entity |
| Predicate | hasDensityClass |
P82291
|
FINISHED |
| Object | high density |
—
|
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: high density | Statement: [Marlex polyethylene, hasDensityClass, high density]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDensityClass Context triple: [Marlex polyethylene, hasDensityClass, high density]
-
A.
hasDensityParameter
Indicates that an entity is associated with a specific density-related parameter or value used to characterize its density properties.
-
B.
hasMeanDensity
Indicates that one entity possesses a specified average mass per unit volume (mean density).
-
C.
densityClass
chosen
Indicates the classification of an entity based on its density level or range.
-
D.
hasCentralDensity
Indicates that an entity possesses a specified value for its density at the central or core region.
-
E.
hasSurfaceDensity
Indicates that one entity possesses or is characterized by a specific amount of mass or quantity distributed per unit area on its surface.
- 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_69f76e1f4d748190bb55594d8441d70e |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff5803c02c81908b63067119f5e684 |
completed | May 9, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69ff576d8b308190b49a1e072a0ae661 |
completed | May 9, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:06 p.m.