Triple
T11425963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vozrozhdeniya Island |
E270748
|
entity |
| Predicate | geographicChangeCause |
P99235
|
FINISHED |
| Object | desiccation of the Aral Sea |
—
|
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: desiccation of the Aral Sea | Statement: [Vozrozhdeniya Island, geographicChangeCause, desiccation of the Aral Sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicChangeCause Context triple: [Vozrozhdeniya Island, geographicChangeCause, desiccation of the Aral Sea]
-
A.
citizenshipChangeReason
Indicates the reason or cause for a change in an entity’s citizenship status.
-
B.
causeOfChangeOfDestination
Indicates that one entity is the reason or trigger for another entity changing its intended destination.
-
C.
territorialChange
Indicates a change in control or ownership of geographic territory from one entity to another, often as a result of political, legal, or military events.
-
D.
migrationCause
Indicates the reason or driving factor that leads an entity to migrate from one place to another.
-
E.
administrativeCenterMovedFrom
Indicates that the role of administrative center was previously located in one place and has been transferred or relocated from that original location to another.
- 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d806be9c2c819084da13101cbb6c81 |
completed | April 9, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69d7e71436f88190ac7e45a04ea5c987 |
completed | April 9, 2026, 5:51 p.m. |
| PDg | Predicate description generation | batch_69d80010712c819089ea2e31e664abe1 |
completed | April 9, 2026, 7:37 p.m. |
Created at: April 8, 2026, 9:35 p.m.