Triple
T19374958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LPG |
E484641
|
entity |
| Predicate | densityLiquid |
P135694
|
FINISHED |
| Object | about 0.5–0.58 kg/L |
—
|
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: about 0.5–0.58 kg/L | Statement: [LPG, densityLiquid, about 0.5–0.58 kg/L]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: densityLiquid Context triple: [LPG, densityLiquid, about 0.5–0.58 kg/L]
-
A.
densityAt15C
Indicates the material’s density measured specifically at a temperature of 15 degrees Celsius.
-
B.
densityAt25°C
Indicates the material’s mass per unit volume measured specifically at a temperature of 25°C.
-
C.
typeOfDensity
Indicates the specific category or kind of density (e.g., mass, population, charge) that characterizes a given quantity or measurement.
-
D.
densityRelativeToSurfaceWater
Indicates how dense something is compared to the density of surface (fresh) water, typically expressed as a ratio or relative value.
-
E.
boilingPoint
Indicates the temperature at which a substance changes from liquid to gas under specified pressure conditions.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61a5acc4481908fecfb57af16d037 |
completed | April 20, 2026, 12:21 p.m. |
| PD | Predicate disambiguation | batch_69e4fd54f8e48190956e73dd8969164a |
completed | April 19, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69e5004c23308190a087b7941a90725f |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:35 p.m.