Triple

T917879
Position Surface form Disambiguated ID Type / Status
Subject Ranger Handbook E19810 entity
Predicate hasAlternativeTitle P39 FINISHED
Object SH 21-76
SH 21-76 is the U.S. Army’s Ranger Handbook, a field manual that outlines the doctrine, tactics, techniques, and procedures for Army Rangers.
E108216 NE FINISHED

How this triple was built (4 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: SH 21-76 | Statement: [Ranger Handbook, hasAlternativeTitle, SH 21-76]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SH 21-76
Context triple: [Ranger Handbook, hasAlternativeTitle, SH 21-76]
  • A. S-23
    S-23 is an International Hydrographic Organization publication that standardizes the naming and limits of the world’s oceans and seas.
  • B. M-72
    M-72 is a state highway in northern Michigan that serves as a key east–west route connecting Traverse City with several inland communities and recreational areas.
  • C. R-17
    R-17 is the Soviet-designed short-range ballistic missile better known in the West by its NATO reporting name "Scud-B."
  • D. S-44
    S-44 is an International Hydrographic Organization standard that defines the accuracy and quality requirements for hydrographic surveys used in nautical charting and marine navigation.
  • E. M62
    M62 is a major trans-Pennine motorway in northern England connecting cities such as Liverpool, Manchester, Leeds, and Hull.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: SH 21-76
Triple: [Ranger Handbook, hasAlternativeTitle, SH 21-76]
Generated description
SH 21-76 is the U.S. Army’s Ranger Handbook, a field manual that outlines the doctrine, tactics, techniques, and procedures for Army Rangers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SH 21-76
Target entity description: SH 21-76 is the U.S. Army’s Ranger Handbook, a field manual that outlines the doctrine, tactics, techniques, and procedures for Army Rangers.
  • A. S-23
    S-23 is an International Hydrographic Organization publication that standardizes the naming and limits of the world’s oceans and seas.
  • B. M-72
    M-72 is a state highway in northern Michigan that serves as a key east–west route connecting Traverse City with several inland communities and recreational areas.
  • C. R-17
    R-17 is the Soviet-designed short-range ballistic missile better known in the West by its NATO reporting name "Scud-B."
  • D. S-44
    S-44 is an International Hydrographic Organization standard that defines the accuracy and quality requirements for hydrographic surveys used in nautical charting and marine navigation.
  • E. M62
    M62 is a major trans-Pennine motorway in northern England connecting cities such as Liverpool, Manchester, Leeds, and Hull.
  • F. None of above. chosen

Provenance (5 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_69a493a099788190a696d9d8408cbaf4 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2fa7b0081909155afc12c1ab630 completed March 1, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf62b05c8190b348ccf1e527d38a completed March 4, 2026, 6:21 a.m.
NEDg Description generation batch_69a7d00886948190984a4e084bd66bf0 completed March 4, 2026, 6:24 a.m.
NED2 Entity disambiguation (via description) batch_69a7d066a3488190b4737ab9e8093892 completed March 4, 2026, 6:25 a.m.
Created at: March 1, 2026, 7:40 p.m.