Triple

T8673445
Position Surface form Disambiguated ID Type / Status
Subject Director General Assam Rifles E205855 entity
Predicate shortForm P43 FINISHED
Object DGAR
DGAR is the abbreviated title for the Director General of Assam Rifles, the senior-most officer commanding India’s Assam Rifles paramilitary force.
E749075 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: DGAR | Statement: [Director General Assam Rifles, shortForm, DGAR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DGAR
Context triple: [Director General Assam Rifles, shortForm, DGAR]
  • A. DAR
    DAR is the Philippine government agency responsible for implementing agrarian reform and redistributing agricultural land to farmers.
  • B. DG
    DG is the abbreviation for the German-speaking Community, the small German-language region and federal community in eastern Belgium.
  • C. DARD
    DARD is an organization focused on translating research findings into practical applications and real-world impact.
  • D. GDA
    GDA is a Polish vehicle registration code assigned to cars registered in the Pomeranian Voivodeship, specifically associated with the Gdańsk area.
  • E. GD A
    GD A is the designated site code used to identify Gondolin Cave in scientific and archaeological records.
  • 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: DGAR
Triple: [Director General Assam Rifles, shortForm, DGAR]
Generated description
DGAR is the abbreviated title for the Director General of Assam Rifles, the senior-most officer commanding India’s Assam Rifles paramilitary force.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DGAR
Target entity description: DGAR is the abbreviated title for the Director General of Assam Rifles, the senior-most officer commanding India’s Assam Rifles paramilitary force.
  • A. DAR
    DAR is the Philippine government agency responsible for implementing agrarian reform and redistributing agricultural land to farmers.
  • B. DG
    DG is the abbreviation for the German-speaking Community, the small German-language region and federal community in eastern Belgium.
  • C. DARD
    DARD is an organization focused on translating research findings into practical applications and real-world impact.
  • D. GDA
    GDA is a Polish vehicle registration code assigned to cars registered in the Pomeranian Voivodeship, specifically associated with the Gdańsk area.
  • E. GD A
    GD A is the designated site code used to identify Gondolin Cave in scientific and archaeological records.
  • 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_69ca83529a9c8190b5c075b4f14636ed completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc491b807c81909563a34a947bc21a completed March 31, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecd43c91c8190a9d1e5d14d764530 completed April 2, 2026, 8:10 p.m.
NEDg Description generation batch_69ceceaab52c819082ecea1bcc38def8 completed April 2, 2026, 8:16 p.m.
NED2 Entity disambiguation (via description) batch_69cecf962f28819090fb93b6a7a2784b completed April 2, 2026, 8:20 p.m.
Created at: March 30, 2026, 6:31 p.m.