Triple
T19676829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jhakri |
E472473
|
entity |
| Predicate | hasNearbyIndustryType |
P20649
|
FINISHED |
| Object | hydropower generation |
—
|
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: hydropower generation | Statement: [Jhakri, hasNearbyIndustryType, hydropower generation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyIndustryType Context triple: [Jhakri, hasNearbyIndustryType, hydropower generation]
-
A.
hasNearbyIndustry
chosen
Indicates that an entity is located close to one or more industrial facilities or activities.
-
B.
hasNearbySiteType
Indicates that one entity has another entity of a specified site type located in its close physical vicinity.
-
C.
hasNearbyProductionArea
Indicates that one entity has a production area located in close physical proximity to it.
-
D.
hasNearbyInfrastructureType
Indicates that an entity is located close to infrastructure of a specified type.
-
E.
hasNearbyInstitutionType
Indicates that an entity has at least one institution of a specified type located in its nearby geographic vicinity.
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e641bbea8c8190b0ad841d95068e0e |
completed | April 20, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69e514eb37b8819091502cc954f70eba |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:45 p.m.