Triple
T36984625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aral Sea environmental disaster |
E914927
|
entity |
| Predicate | largelyIrreversibleDamageIn |
P139197
|
FINISHED |
| Object | South Aral Sea |
—
|
NE NERFINISHED |
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: South Aral Sea | Statement: [Aral Sea environmental disaster, largelyIrreversibleDamageIn, South Aral Sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largelyIrreversibleDamageIn Context triple: [Aral Sea environmental disaster, largelyIrreversibleDamageIn, South Aral Sea]
-
A.
irreversibility
chosen
Indicates that the relationship or process cannot be undone or reversed once it has occurred.
-
B.
damageAssociatedWith
Indicates a relationship where one entity is linked to causing, contributing to, or being responsible for damage affecting another entity.
-
C.
damageLeadsTo
Indicates that one instance of damage causally results in or contributes to another specified outcome or condition.
-
D.
fatallyDamaged
Indicates that an entity has been harmed or impaired to such an extent that death is inevitable or has already occurred as a result of the damage.
-
E.
extentOfDamage
Indicates the degree or severity to which damage has occurred in a given context.
- 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_69f76e8dd0408190b8b46da118ea5128 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.