Triple
T25110522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | محمد علی جناح |
E628975
|
entity |
| Predicate | تعلق_ملک_سابقہ |
P158183
|
FINISHED |
| Object | برٹش انڈیا |
—
|
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: برٹش انڈیا | Statement: [محمد علی جناح, تعلق_ملک_سابقہ, برٹش انڈیا]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تعلق_ملک_سابقہ Context triple: [محمد علی جناح, تعلق_ملک_سابقہ, برٹش انڈیا]
-
A.
associatedSultan
Indicates that one entity is linked or connected to a particular sultan in some relevant context or relationship.
-
B.
associatedWithLaterKingdom
Indicates a relationship where an entity is linked or connected to a kingdom that arose or existed at a later historical period.
-
C.
associatedWithPalace
Indicates a relationship where an entity has a connection, link, or involvement with a palace, such as through location, function, ownership, or affiliation.
-
D.
associatedWithMonarchy
Indicates a relationship in which something has a connection, link, or relevance to a monarchy or monarchical system.
-
E.
associatedWithMonarch
Indicates a relationship where an entity has a connection or affiliation with a monarch, such as through service, governance, lineage, or formal association.
- 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_69e2ff3169d08190973b6061d5009abd |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f465767c48819086fa0573dca12276 |
completed | May 1, 2026, 8:33 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, 6:26 a.m.