Triple
T34809132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1970 Pakistani general election |
E1003447
|
entity |
| Predicate | seatsWonByAwamiLeagueInEastPakistan |
P182879
|
FINISHED |
| Object | all but 2 |
—
|
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: all but 2 | Statement: [1970 Pakistani general election, seatsWonByAwamiLeagueInEastPakistan, all but 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatsWonByAwamiLeagueInEastPakistan Context triple: [1970 Pakistani general election, seatsWonByAwamiLeagueInEastPakistan, all but 2]
-
A.
seatsWonByAwamiLeague
chosen
Indicates the number of seats that were won by the Awami League in an election or legislative body.
-
B.
lowerHouseSeatsWestPakistan
Indicates the number of seats allocated to West Pakistan in the lower house of a legislative body.
-
C.
seatsWonByPPP
Indicates the number of seats that were won by the PPP party in an election or legislative body.
-
D.
seatsWonByBalad
Indicates the number of legislative seats that were won by the Balad party in an election.
-
E.
upperHouseSeatsWestPakistan
Indicates the number of seats allocated to West Pakistan in the upper house of a legislative or parliamentary body.
- 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_69f76db600b88190989abdf08fce3b27 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f79f48acec8190a9d5964581a94f6c |
completed | May 3, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 3:59 p.m.