Triple
T24991305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morena Lok Sabha constituency |
E625454
|
entity |
| Predicate | lowerHouseSeat |
P158155
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Morena Lok Sabha constituency, lowerHouseSeat, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowerHouseSeat Context triple: [Morena Lok Sabha constituency, lowerHouseSeat, yes]
-
A.
lowerHouse
Indicates that one entity functions as the lower chamber of a bicameral legislature in relation to a given political body or system.
-
B.
lowerHouseOf
Indicates that one entity is the lower chamber in the bicameral legislature of another governing body or jurisdiction.
-
C.
seatOfRepresentative
Indicates the location or institution where a representative officially holds their position or exercises their duties.
-
D.
upperHouseRepresentation
Indicates the relationship by which an entity is represented in, or holds seats within, an upper legislative chamber (such as a senate or upper house of parliament).
-
E.
hasNationalCongressSeat
Indicates that an entity holds a seat or position in a national congress or equivalent legislative body.
- 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_69e2ff2611c081908710457fbe6d376b |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cfb53f4819099bba48c5057e787 |
completed | May 1, 2026, 7:57 a.m. |
| PDg | Predicate description generation | batch_69f464ae42e88190b3549fdf4e0b425e |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 18, 2026, 6:03 a.m.