Triple

T29265039
Position Surface form Disambiguated ID Type / Status
Subject Pakistan Honours System E741956 entity
Predicate highestMilitaryAward P141343 FINISHED
Object Nishan-e-Haider
Nishan-e-Haider is Pakistan’s highest military gallantry award, bestowed posthumously for extraordinary acts of bravery in the face of the enemy.
 E1859591 NE FINISHED

How this triple was built (3 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]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nishan-e-Haider
Triple: [Pakistan Honours System, highestMilitaryAward, Nishan-e-Haider]
Generated description
Nishan-e-Haider is Pakistan’s highest military gallantry award, bestowed posthumously for extraordinary acts of bravery in the face of the enemy.
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 (6 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.
NED1 Entity disambiguation (via context triple) batch_6a25893271d48190b1b65ac878ca0508 completed June 7, 2026, 3:07 p.m.
NEDg Description generation batch_6a258dab84b081908f66170fc8e3151b completed June 7, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_6a25919df80881909c817cf6b2c3ef56 completed June 7, 2026, 3:43 p.m.
PD Predicate disambiguation batch_69f73a38d0848190aa5139144b8561c6 completed May 3, 2026, 12:06 p.m.
Created at: April 28, 2026, 12:44 p.m.