Triple
T29265039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pakistan Honours System |
E741956
|
entity |
| Predicate | highestMilitaryAward |
P141343
|
FINISHED |
| Object | Nishan-e-Haider |
—
|
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-Haider | Statement: [Pakistan Honours System, highestMilitaryAward, Nishan-e-Haider]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highestMilitaryAward Context triple: [Pakistan Honours System, highestMilitaryAward, Nishan-e-Haider]
-
A.
highestMilitaryDecoration
chosen
Indicates that the object is the most prestigious military award or honor that has been conferred upon the subject.
-
B.
militaryAward
Indicates that an entity has received or been granted a specific military honor, decoration, or award.
-
C.
isMilitaryAwardFor
Indicates that something is a military honor or decoration given in recognition of a specific action, service, or achievement.
-
D.
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.
-
E.
highestCivilianAward
Indicates that one entity is recognized as the most prestigious civilian honor conferred by another entity.
- 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_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
Created at: April 28, 2026, 12:44 p.m.