Triple
T8456375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nishan-e-Imtiaz |
E199928
|
entity |
| Predicate | rankInPakistanHonoursSystem |
P82743
|
FINISHED |
| Object | one of the highest civilian honours of Pakistan |
—
|
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: one of the highest civilian honours of Pakistan | Statement: [Nishan-e-Imtiaz, rankInPakistanHonoursSystem, one of the highest civilian honours of Pakistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInPakistanHonoursSystem Context triple: [Nishan-e-Imtiaz, rankInPakistanHonoursSystem, one of the highest civilian honours of Pakistan]
-
A.
rankInIndiaCivilianHonours
Indicates the position or level of a civilian honour within the hierarchy of civilian awards in India.
-
B.
rankInCanadianHonoursSystem
Indicates the position or level an honour occupies within the formal hierarchy of the Canadian honours system.
-
C.
rankInIndianOrderOfPrecedence
Indicates the formal position or level an office or individual holds within the official Indian Order of Precedence hierarchy.
-
D.
rankInJamaicanHonoursSystem
Indicates the specific level or position an entity holds within the formal hierarchy of the Jamaican honours and awards system.
-
E.
areaRankInPakistan
Indicates the relative position of an entity when all entities in Pakistan are ordered by their area size.
- 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_69ca8318231881908fd1bc1c4d45d286 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe48f180c8190a71cf9d7248ade60 |
completed | March 31, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_69cbd0fc634481909842c0a30077bfde |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe12dd0b88190a38ec4d15dcc870b |
completed | March 31, 2026, 2:58 p.m. |
Created at: March 30, 2026, 6:10 p.m.