Triple

T1145236
Position Surface form Disambiguated ID Type / Status
Subject Division of Policy, Evaluation and Training E23549 entity
Predicate shortName P43 FINISHED
Object DPET
DPET is a unit focused on developing policy, conducting evaluations, and providing training within its parent organization.
 E131296 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: DPET | Statement: [Division of Policy, Evaluation and Training, shortName, DPET]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DPET
Context triple: [Division of Policy, Evaluation and Training, shortName, DPET]
  • A. DET
    DET is the standard NHL abbreviation for the Detroit Red Wings professional ice hockey team.
  • B. DRPT
    DRPT is the state agency in Virginia responsible for planning, funding, and improving passenger and freight rail, public transit, and commuter services.
  • C. DPD
    DPD is the commonly used abbreviation for the "Diccionario panhispánico de dudas," a comprehensive reference work by the Royal Spanish Academy that clarifies usage, grammar, and style questions across the Spanish-speaking world.
  • D. DPD
    DPD is the commonly used abbreviation for Indonesia’s Regional Representative Council, the upper house of its national legislature.
  • E. PIT
    PIT is the standard three-letter abbreviation used for the NHL’s Pittsburgh Penguins in scores, standings, and statistics.
  • 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: DPET
Triple: [Division of Policy, Evaluation and Training, shortName, DPET]
Generated description
DPET is a unit focused on developing policy, conducting evaluations, and providing training within its parent organization.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DPET
Target entity description: DPET is a unit focused on developing policy, conducting evaluations, and providing training within its parent organization.
  • A. DET
    DET is the standard NHL abbreviation for the Detroit Red Wings professional ice hockey team.
  • B. DRPT
    DRPT is the state agency in Virginia responsible for planning, funding, and improving passenger and freight rail, public transit, and commuter services.
  • C. DPD
    DPD is the commonly used abbreviation for the "Diccionario panhispánico de dudas," a comprehensive reference work by the Royal Spanish Academy that clarifies usage, grammar, and style questions across the Spanish-speaking world.
  • D. DPD
    DPD is the commonly used abbreviation for Indonesia’s Regional Representative Council, the upper house of its national legislature.
  • E. PIT
    PIT is the standard three-letter abbreviation used for the NHL’s Pittsburgh Penguins in scores, standings, and statistics.
  • 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_69a493ef399c8190b04b9146d2314f59 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc51244c8190bcd533f3e80c8f17 completed March 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5eb1f7d08190ba722dcbbc8a6799 completed March 7, 2026, 5:21 p.m.
NEDg Description generation batch_69ac5f5ac2f88190a1d27b6ff457ddd3 completed March 7, 2026, 5:24 p.m.
NED2 Entity disambiguation (via description) batch_69ac5fbd55d88190a21f0e288bd9ae0a completed March 7, 2026, 5:26 p.m.
Created at: March 1, 2026, 7:44 p.m.