Triple
T29265057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pakistan Honours System |
E741956
|
entity |
| Predicate | includesCivilAward |
P95756
|
FINISHED |
| Object | Nishan-e-Imtiaz |
—
|
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: Nishan-e-Imtiaz | Statement: [Pakistan Honours System, includesCivilAward, Nishan-e-Imtiaz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesCivilAward Context triple: [Pakistan Honours System, includesCivilAward, Nishan-e-Imtiaz]
-
A.
isCivilianAward
Indicates that an award is designated for civilians rather than military or combat-related recipients.
-
B.
isCivil
Indicates that one party behaves in a polite, respectful, and non-hostile manner toward another.
-
C.
isAward
chosen
Indicates that one entity functions as an award or prize that is given or conferred to another entity.
-
D.
mainCivilOrder
Indicates that one civil order is the primary or governing civil order in relation to another or within a given context.
-
E.
hasCivilSection
Indicates that one legal document, case, or record includes or is associated with a specific civil law section or provision.
- 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_69f0912065c08190bddd23e20e8ef18e |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69ff9bed58dc8190a204816d4ed6c32c |
completed | May 9, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69ff9b69653c81908ab0d88055a66a88 |
completed | May 9, 2026, 8:39 p.m. |
Created at: April 28, 2026, 12:44 p.m.