Triple
T1019415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Pacific Rise |
E22005
|
entity |
| Predicate | heatFlow |
P23289
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [East Pacific Rise, heatFlow, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heatFlow Context triple: [East Pacific Rise, heatFlow, high]
-
A.
thermalConductivity
Indicates how effectively heat is conducted through a material per unit temperature gradient.
-
B.
thermalPower
Indicates the amount of heat energy per unit time that a system, device, or process generates, transfers, or consumes.
-
C.
temperatureDifferenceAcrossFront
Indicates the magnitude of change in temperature measured between two sides of a defined front or boundary.
-
D.
thermalConductivityRank
Indicates the relative ordering of entities based on how effectively they conduct heat.
-
E.
coolingMethod
Indicates the technique or process used to remove heat from something or keep it at a lower temperature.
- 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_69a493d6e380819097b384986ffc315c |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7dbcf7c8190858b2d16a27bd2ff |
completed | March 1, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69a4b724c7908190a5b92a57fbdbff4e |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b7bd3d50819091e6f1d2ffe4c7ee |
completed | March 1, 2026, 10:03 p.m. |
Created at: March 1, 2026, 7:41 p.m.