Triple
T24428679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mississippi Valley-Type lead-zinc district |
E615931
|
entity |
| Predicate | fluidTemperature |
P4459
|
FINISHED |
| Object | low-temperature |
—
|
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: low-temperature | Statement: [Mississippi Valley-Type lead-zinc district, fluidTemperature, low-temperature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fluidTemperature Context triple: [Mississippi Valley-Type lead-zinc district, fluidTemperature, low-temperature]
-
A.
heatFlow
Indicates the transfer of thermal energy from one entity or region to another due to a temperature difference.
-
B.
hasTemperature
chosen
Indicates that an entity possesses or is characterized by a specific temperature value.
-
C.
temperatureRelativeToSurroundings
Indicates how an entity’s temperature compares to that of its immediate surroundings (e.g., warmer, cooler, or equal).
-
D.
heatTransferMedium
Indicates that one entity serves as the medium or carrier through which heat is transferred from one place or object to another.
-
E.
temperatureGradient
Indicates how temperature changes in magnitude and/or direction across space within a given region or system.
- 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_69e2d7eadb248190a867130fe45f0388 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f296a983d88190904b559694363a19 |
completed | April 29, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69f287cc4fd4819081e93cc638d9512d |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:15 a.m.