Triple

T29750142
Position Surface form Disambiguated ID Type / Status
Subject French military hierarchy E752869 entity
Predicate navalRankPrefix P80388 FINISHED
Object Enseigne de vaisseau
Enseigne de vaisseau is a junior commissioned officer rank in the French Navy, roughly equivalent to an ensign or sub-lieutenant in other navies.
 E1882805 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: Enseigne de vaisseau | Statement: [French military hierarchy, navalRankPrefix, Enseigne de vaisseau]
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: Enseigne de vaisseau
Triple: [French military hierarchy, navalRankPrefix, Enseigne de vaisseau]
Generated description
Enseigne de vaisseau is a junior commissioned officer rank in the French Navy, roughly equivalent to an ensign or sub-lieutenant in other navies.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: navalRankPrefix
Context triple: [French military hierarchy, navalRankPrefix, Enseigne de vaisseau]
  • A. navalRankContext
    Indicates the relationship between an entity and its naval rank within a specific organizational, temporal, or situational context.
  • B. navyDesignationPrefix chosen
    Indicates the specific naval designation or prefix assigned to an entity, typically reflecting its role, type, or status within a navy.
  • C. commandingOfficerRank
    Indicates the military rank held by the officer who has command authority over a given individual or unit.
  • D. militaryRank
    Indicates that one entity holds a specific position or level within a hierarchical military ranking system relative to another entity.
  • E. militaryRankOfPrecedence
    Indicates the relative seniority or priority order of a military rank compared to other ranks.
  • 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_69f0d62c84cc8190846f80ae04fdf8ec completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f6736a13f08190b9695bb8796e0aec completed May 2, 2026, 9:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26aa9511488190b76043cd8b962c12 completed June 8, 2026, 11:42 a.m.
NEDg Description generation batch_6a26b5b9f88081908397b3dcaa4f3600 completed June 8, 2026, 12:29 p.m.
NED2 Entity disambiguation (via description) batch_6a26b98d6b14819088d658a7a9678417 completed June 8, 2026, 12:46 p.m.
PD Predicate disambiguation batch_69f66ac1a4fc81909740d2e52fbe6970 completed May 2, 2026, 9:21 p.m.
Created at: April 28, 2026, 7:53 p.m.