Triple
T26278348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bowen’s reaction series |
E660634
|
entity |
| Predicate | lowTemperatureEndMember |
P160194
|
FINISHED |
| Object | quartz |
—
|
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: quartz | Statement: [Bowen’s reaction series, lowTemperatureEndMember, quartz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowTemperatureEndMember Context triple: [Bowen’s reaction series, lowTemperatureEndMember, quartz]
-
A.
minSurfaceTemperature
Indicates the lowest temperature value observed or allowed on the surface of an object or environment.
-
B.
meltingPoint
Indicates the temperature at which a substance changes from solid to liquid under specified conditions.
-
C.
recordLowTemperature
Indicates that a specified temperature value is the lowest recorded temperature for a given entity, location, or time period.
-
D.
minimumWinterTemperature
Indicates the lowest temperature typically experienced during the winter season for the subject entity.
-
E.
hasTypicalFreezingPoint
Indicates the temperature at which a substance normally changes from liquid to solid under standard 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_69ee812960d081909cff6085cc9fa3a6 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60e36ff9c8190843bdf03b6de6b07 |
completed | May 2, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f5ffc6268c8190b63f6360ebadab73 |
completed | May 2, 2026, 1:44 p.m. |
Created at: April 26, 2026, 9:58 p.m.