Triple
T25110503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | محمد علی جناح |
E628975
|
entity |
| Predicate | جائے_تعلیم |
P85893
|
FINISHED |
| Object | لندن |
—
|
NE NERFINISHED |
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: لندن | Statement: [محمد علی جناح, جائے_تعلیم, لندن]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: جائے_تعلیم Context triple: [محمد علی جناح, جائے_تعلیم, لندن]
-
A.
освіта
chosen
Indicates that one entity provides, has, or is associated with the education or educational background of another entity.
-
B.
educationRight
Indicates that an entity holds a right or entitlement to receive education or educational opportunities.
-
C.
educationAndCulture
Indicates a relationship where activities, policies, or influences connect educational processes with cultural development, preservation, or expression.
-
D.
educationSystem
Indicates the relationship in which an entity is part of, governed by, or operates within a particular system or structure of education.
-
E.
educates
Indicates that one entity provides instruction, knowledge, or training to another entity.
- 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_69e2ff3169d08190973b6061d5009abd |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f46d3f35848190b56a4373c97a7d64 |
completed | May 1, 2026, 9:07 a.m. |
| PD | Predicate disambiguation | batch_69f4683472ec8190a483b3b8afe71720 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 18, 2026, 6:26 a.m.