Triple
T38019624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aurangabad Lok Sabha constituency |
E948591
|
entity |
| Predicate | countryElectoralType |
P207560
|
FINISHED |
| Object | national |
—
|
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: national | Statement: [Aurangabad Lok Sabha constituency, countryElectoralType, national]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryElectoralType Context triple: [Aurangabad Lok Sabha constituency, countryElectoralType, national]
-
A.
countryEntryType
Indicates the manner or category by which an entity enters or is admitted into a country (e.g., visa type, entry status, or entry condition).
-
B.
countryScope
Indicates that something is limited to, applicable within, or defined at the level of a specific country.
-
C.
countryType
Indicates the classification or category of a country based on a specified typology (e.g., political, economic, or geographic type).
-
D.
representedStateType
Indicates that one entity serves as a representation or encoding of the type or category of state associated with another entity.
-
E.
countryLed
Indicates that one country serves as the leader, head, or primary directing authority over another country in a given context.
- F. None of above. chosen
Provenance (4 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_69f76efc10448190aff5fb566b98f952 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037df009f4819082e04683e6e8a106 |
completed | May 12, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:20 p.m.