Triple
T38019674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nawada Lok Sabha constituency |
E948592
|
entity |
| Predicate | borderingStateOfState |
P80398
|
FINISHED |
| Object | Jharkhand |
—
|
NE NERFINISHED |
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: Jharkhand | Statement: [Nawada Lok Sabha constituency, borderingStateOfState, Jharkhand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderingStateOfState Context triple: [Nawada Lok Sabha constituency, borderingStateOfState, Jharkhand]
-
A.
borderingOpposingState
Indicates that one state shares a border with another state that is politically, militarily, or ideologically opposed to it.
-
B.
borderingStateOrTerritory
Indicates that one state or territory shares a common boundary with another state or territory.
-
C.
borderStateOf
chosen
Indicates that one state shares a common boundary or border with another state.
-
D.
borderingCountryOfState
Indicates that one country shares a land or maritime boundary directly with the specified state.
-
E.
stateBorderContext
Indicates that one state shares a border with another state within a specified geographic or political context.
- 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_69f76efc10448190aff5fb566b98f952 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a00262d71488190a769783fb09e5803 |
completed | May 10, 2026, 6:31 a.m. |
| PD | Predicate disambiguation | batch_6a0023985f148190a335a3fb93e9981e |
completed | May 10, 2026, 6:20 a.m. |
Created at: May 3, 2026, 4:20 p.m.