Triple
T34933697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of Imtiaz |
E1007510
|
entity |
| Predicate | rankInPakistanHonours |
P83181
|
FINISHED |
| Object | one of the highest civilian awards in 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 awards in Pakistan | Statement: [Order of Imtiaz, rankInPakistanHonours, one of the highest civilian awards in Pakistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInPakistanHonours Context triple: [Order of Imtiaz, rankInPakistanHonours, one of the highest civilian awards in Pakistan]
-
A.
rankInPakistanHonoursSystem
Indicates the position or level an honour occupies within the formal hierarchy of Pakistan’s honours system.
-
B.
rankInPakistanCivilAwards
chosen
Indicates the position or level an award holds within the hierarchy of Pakistan’s civil honors system.
-
C.
rankInIndiaCivilianHonours
Indicates the position or level of a civilian honour within the hierarchy of civilian awards in India.
-
D.
rankInGallantryAwards
Indicates the position or level an entity holds within a hierarchy or ordering of gallantry awards.
-
E.
populationRankInPakistan
Indicates the relative position of an entity in terms of its population size compared to other entities within Pakistan.
- 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_69f76dc513fc819084a1ff52abbfa5bc |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4 p.m.