Triple
T22172801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhavnagar Lok Sabha constituency |
E547963
|
entity |
| Predicate | previousMPTermStartYear |
P70804
|
FINISHED |
| Object | 2014 |
—
|
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: 2014 | Statement: [Bhavnagar Lok Sabha constituency, previousMPTermStartYear, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousMPTermStartYear Context triple: [Bhavnagar Lok Sabha constituency, previousMPTermStartYear, 2014]
-
A.
previousMPStartYear
chosen
Indicates the year in which the subject’s immediately preceding term as a Member of Parliament began.
-
B.
previousEventYear
Indicates that one event occurred in a year that is earlier than the year of another event.
-
C.
earlierMPStartDate
Indicates that one entity’s MP start date occurs earlier in time than another entity’s MP start date.
-
D.
previousMajorRevisionYear
Indicates the calendar year in which the immediately preceding major revision or version of an item was released or finalized.
-
E.
previousMatchYear
Indicates that one event or match occurred in the year immediately preceding the year of another event or match.
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a69c12c8190a03177b5b740456a |
completed | April 28, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69e71b41555881909b8e22718974d527 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:34 p.m.