Triple
T10799274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Singur Dam |
E254795
|
entity |
| Predicate | ecosystemImpact |
P5628
|
FINISHED |
| Object | creation of reservoir ecosystem |
—
|
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: creation of reservoir ecosystem | Statement: [Singur Dam, ecosystemImpact, creation of reservoir ecosystem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ecosystemImpact Context triple: [Singur Dam, ecosystemImpact, creation of reservoir ecosystem]
-
A.
biosphereImpact
Indicates the effect or influence that an entity or action has on the biosphere, including its ecosystems, organisms, and ecological processes.
-
B.
conservationImpact
Indicates the effect that an action, policy, or entity has on the preservation, protection, or restoration of natural ecosystems and biodiversity.
-
C.
humanImpact
Indicates the effect or influence that human activities have on another entity, system, or environment.
-
D.
hasEnvironmentalImpactOn
chosen
Indicates that one entity affects or alters the environmental conditions, quality, or ecological state of another entity.
-
E.
ecoregionInfluence
Indicates that one ecoregion affects or shapes the environmental characteristics, processes, or conditions of another area or system.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733366c408190bfd3b57be5ef2440 |
completed | April 9, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_69d6f3188f00819094ee8d65b187a333 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:17 p.m.