Triple
T10783346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cocos Plate large igneous province |
E254385
|
entity |
| Predicate | heatFlowEffect |
P23289
|
FINISHED |
| Object | locally elevated heat flow on Cocos Plate |
—
|
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: locally elevated heat flow on Cocos Plate | Statement: [Cocos Plate large igneous province, heatFlowEffect, locally elevated heat flow on Cocos Plate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heatFlowEffect Context triple: [Cocos Plate large igneous province, heatFlowEffect, locally elevated heat flow on Cocos Plate]
-
A.
heatFlow
chosen
Indicates the transfer of thermal energy from one entity or region to another due to a temperature difference.
-
B.
heatSource
Indicates that one entity serves as a source of heat or heating for another entity.
-
C.
heatTransferMethod
Indicates the mechanism or process by which heat is transferred from one entity or system to another.
-
D.
hasCoolingFlow
Indicates that an entity is equipped with or utilizes a system or mechanism to remove heat or maintain a lower temperature through the flow of a cooling medium.
-
E.
temperatureDependent
Indicates that the existence, intensity, or outcome of a relationship or process varies as a function of temperature.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732d1b4bc8190871dd21265065705 |
completed | April 9, 2026, 5:02 a.m. |
| PD | Predicate disambiguation | batch_69d6f316940c819092a96c429629fdef |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:17 p.m.