Triple
T4998533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siberian continental shelf |
E112306
|
entity |
| Predicate | wasExposedAsLandDuring |
P61397
|
FINISHED |
| Object | Pleistocene glacial maxima |
—
|
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: Pleistocene glacial maxima | Statement: [Siberian continental shelf, wasExposedAsLandDuring, Pleistocene glacial maxima]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasExposedAsLandDuring Context triple: [Siberian continental shelf, wasExposedAsLandDuring, Pleistocene glacial maxima]
-
A.
wasLandBridgeDuring
Indicates that one landmass served as a land bridge connecting other regions during a specified time period.
-
B.
isInLand
Indicates that one entity is located within the geographical boundaries of a land area or territory of another entity.
-
C.
usesOnLand
Indicates that one entity employs or operates another entity specifically in a land-based context.
-
D.
madeLandfallOn
Indicates that a storm or similar weather system has come ashore and first reached land at a specific location or on a specific date.
-
E.
hasLandCoverage
Indicates that a specified area or region is covered or occupied by a particular type of land surface or land use.
- 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_69bd4432b32c81909f3b3c6bd10f0653 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7472a1dc8190942f568a81fdd961 |
completed | March 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69bd714aee2481908fb0dd5fa2daf3a1 |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd74713fc88190916c2b04cd2e677e |
completed | March 20, 2026, 4:23 p.m. |
Created at: March 20, 2026, 1:34 p.m.