Triple
T6596296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kishanganga Hydroelectric Plant |
E148483
|
entity |
| Predicate | headRaceTunnel |
P59813
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Kishanganga Hydroelectric Plant, headRaceTunnel, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: headRaceTunnel Context triple: [Kishanganga Hydroelectric Plant, headRaceTunnel, yes]
-
A.
hasHeadraceTunnel
chosen
Indicates that an entity is connected to or equipped with a headrace tunnel that conveys water to a hydraulic structure or power-generating facility.
-
B.
partOfTunnel
Indicates that one entity forms a physical segment or component within the structure or extent of a tunnel.
-
C.
headType
Indicates the specific kind or category of head associated with an entity (e.g., type of head part, head role, or head classification in a structure or system).
-
D.
tunnels
Indicates that one entity passes through, under, or within another entity via a tunnel-like passage or structure.
-
E.
heads
Indicates that one entity leads, directs, or is in charge of another entity, such as an organization, group, or initiative.
- 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_69c687e7b8688190811ffee72e096468 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6acfd17388190bd0bb8b2371e7df1 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:56 p.m.