Triple
T4816313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nathpa Jhakri Dam |
E107596
|
entity |
| Predicate | headraceTunnelLength |
P12895
|
FINISHED |
| Object | approximately 27 km |
—
|
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: approximately 27 km | Statement: [Nathpa Jhakri Dam, headraceTunnelLength, approximately 27 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: headraceTunnelLength Context triple: [Nathpa Jhakri Dam, headraceTunnelLength, approximately 27 km]
-
A.
lengthUnderseaSection
Indicates that the specified length pertains to the portion of an object or route that lies beneath the sea surface.
-
B.
numberOfMajorTunnels
Indicates the count of primary or significant tunnels associated with an entity.
-
C.
tunnelCircumference
Indicates the circular distance around the inner boundary of a tunnel’s cross-section.
-
D.
lengthOfMainAqueduct
Indicates the measured length of the primary aqueduct in a water conveyance system.
-
E.
hasTunnelLengthApprox
chosen
Indicates that an entity has a tunnel whose length is approximately a specified value.
- 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_69bd43f9efa081908314cb3e94fa1695 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1dfa3481909d240d50ed0ee38c |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:23 p.m.