Triple
T14787801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lahore Session of 1929 |
E347572
|
entity |
| Predicate | adoptedPolicy |
P101959
|
FINISHED |
| Object | boycott of British goods |
—
|
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: boycott of British goods | Statement: [Lahore Session of 1929, adoptedPolicy, boycott of British goods]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adoptedPolicy Context triple: [Lahore Session of 1929, adoptedPolicy, boycott of British goods]
-
A.
establishedPolicy
chosen
Indicates that a policy has been formally created, adopted, and put into effect as a guiding rule or standard.
-
B.
implementedPolicy
Indicates that a particular policy has been put into effect or carried out by an entity.
-
C.
adoptedPursuantTo
Indicates that something (such as a measure, policy, or decision) was formally adopted in accordance with, and on the basis of, a specific legal authority, procedure, or instrument.
-
D.
adopted
Indicates that one entity has legally taken another (often a child or animal) into its family or care as a permanent member.
-
E.
admissionPolicy
Indicates the rules or criteria governing whether and how entities are allowed to be admitted or granted access.
- 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.