Triple
T8534606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sitara-e-Imtiaz |
E202046
|
entity |
| Predicate | rankInPakistanCivilAwards |
P83181
|
FINISHED |
| Object | third highest |
—
|
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: third highest | Statement: [Sitara-e-Imtiaz, rankInPakistanCivilAwards, third highest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInPakistanCivilAwards Context triple: [Sitara-e-Imtiaz, rankInPakistanCivilAwards, third highest]
-
A.
rankInIndiaCivilianHonours
Indicates the position or level of a civilian honour within the hierarchy of civilian awards in India.
-
B.
isHighestPeacetimeGallantryAwardOf
Indicates that one award is the supreme or most prestigious gallantry decoration conferred during peacetime within the context of a given country, organization, or system.
-
C.
awardOrRanking
Indicates that there is an award, honor, or ranking status conferred on or associated with an entity.
-
D.
rankInIndianOrderOfPrecedence
Indicates the formal position or level an office or individual holds within the official Indian Order of Precedence hierarchy.
-
E.
rankInCanadianHonoursSystem
Indicates the position or level an honour occupies within the formal hierarchy of the Canadian honours system.
- 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_69ca832355b08190b8b6a4ab4a4a3554 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6a0ccd4819097b41d0dfb1c5018 |
completed | March 31, 2026, 3:22 p.m. |
| PD | Predicate disambiguation | batch_69cbd111bf988190be98c92a607c6456 |
completed | March 31, 2026, 1:50 p.m. |
| PDg | Predicate description generation | batch_69cbe30d453481908f897ed2b06e7534 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:17 p.m.