Triple
T14787784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lahore Session of 1929 |
E347572
|
entity |
| Predicate | rejectedGoal |
P52534
|
FINISHED |
| Object | dominion status within the British Empire |
—
|
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: dominion status within the British Empire | Statement: [Lahore Session of 1929, rejectedGoal, dominion status within the British Empire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rejectedGoal Context triple: [Lahore Session of 1929, rejectedGoal, dominion status within the British Empire]
-
A.
rejectedBy
Indicates that one entity has been refused, dismissed, or not accepted by another entity.
-
B.
rejectedIn
chosen
Indicates that an entity or proposal was not accepted or was turned down within a specific context, process, or location.
-
C.
rejectedConcept
Indicates that one entity has refused to accept, approve, or adopt a particular concept proposed by another entity.
-
D.
rejectedBecause
Indicates that one entity refused, dismissed, or did not accept another entity specifically due to a stated reason or cause.
-
E.
rejectedAward
Indicates that an entity refused to accept or declined an award that was offered or granted to it.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decaa083e481908336d58d026eec32 |
completed | April 14, 2026, 11:15 p.m. |
| PD | Predicate disambiguation | batch_69de8c090d1081909b5a9bf437499d6c |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:31 a.m.