Triple
T6254504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varanasi (Lok Sabha constituency) |
E140127
|
entity |
| Predicate | numberOfAssemblySegments |
P63908
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Varanasi (Lok Sabha constituency), numberOfAssemblySegments, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfAssemblySegments Context triple: [Varanasi (Lok Sabha constituency), numberOfAssemblySegments, 5]
-
A.
assemblySegments
chosen
Indicates that an entity is composed of or associated with specific component segments that together form its assembly.
-
B.
numberOfAssemblyMembers
Indicates the total count of members that belong to a particular assembly.
-
C.
numberOfDistinctAssemblies
Indicates the count of unique assemblies associated with or involved in a given entity or context.
-
D.
genomeSegmentCount
Indicates the number of distinct genomic segments associated with a given biological entity or sample.
-
E.
hasAssembly
Indicates that an entity is composed of, or includes, one or more component parts assembled into a whole.
- 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_69c008b4858c819095b0199114a9a87b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063625608819081f5422112c80ce5 |
completed | March 22, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69c05605566c81908e197f5accd072d2 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:24 p.m.