Triple
T6286504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | global thermohaline circulation |
E140913
|
entity |
| Predicate | hasTimescale |
P9981
|
FINISHED |
| Object | centennial timescale |
—
|
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: centennial timescale | Statement: [global thermohaline circulation, hasTimescale, centennial timescale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTimescale Context triple: [global thermohaline circulation, hasTimescale, centennial timescale]
-
A.
supportsTimescale
Indicates that one entity is capable of operating with, accommodating, or being compatible with a specified timescale or range of temporal resolutions.
-
B.
timescale
chosen
Indicates the temporal scale or duration over which a process, relationship, or effect occurs or is evaluated.
-
C.
hasTimeDimension
Indicates that something possesses or is associated with a temporal aspect, such as duration, point in time, or time-based variation.
-
D.
hasTimeDepth
Indicates that something possesses or spans a measurable extent of time, such as duration, historical depth, or temporal layering.
-
E.
hasScale
Indicates that one entity possesses or is characterized by a scale or graduated measurement system related to another entity.
- 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_69c008cd17c8819082b82d3fbeb68047 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063fe59fc81908dbd968017771190 |
completed | March 22, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69c0560a0270819098ad2785b91e8f39 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:26 p.m.