Triple
T31253859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tie Luo Han |
E796903
|
entity |
| Predicate | typicalInfusionTemperature |
P53109
|
FINISHED |
| Object | around 95–100 °C |
—
|
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: around 95–100 °C | Statement: [Tie Luo Han, typicalInfusionTemperature, around 95–100 °C]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalInfusionTemperature Context triple: [Tie Luo Han, typicalInfusionTemperature, around 95–100 °C]
-
A.
brewingTemperature
chosen
Indicates the specific temperature at which a brewing process is carried out.
-
B.
optimalTemperatureCelsius
Indicates the temperature in degrees Celsius at which something operates or performs at its best.
-
C.
typicalInfusionColor
Indicates the usual or characteristic color of a liquid infusion produced from a substance.
-
D.
productionTemperature
Indicates the temperature at which a product, material, or substance is produced or processed.
-
E.
typicalBoilingTime
Indicates the usual duration required for something to reach or remain at its boiling point under standard conditions.
- 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_69f224dc84d0819081f1cb6f9127e6b1 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e5174c8190a0bdde7e381b7624 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 9:12 p.m.