Triple

T5107290
Position Surface form Disambiguated ID Type / Status
Subject Federal Center SW station E115128 entity
Predicate hasCode P9567 FINISHED
Object D03
D03 is the station code used to identify the Federal Center SW stop on the Washington Metro system.
 E493299 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: D03 | Statement: [Federal Center SW station, hasCode, D03]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: D03
Context triple: [Federal Center SW station, hasCode, D03]
  • A. D0
    D0 is a major particle physics detector experiment at Fermilab’s Tevatron collider, designed to study high-energy proton–antiproton collisions and probe fundamental particles and forces.
  • B. D3
    D3 is the commonly used abbreviation for California Department of Transportation's District 3, which oversees state transportation infrastructure in part of Northern California.
  • C. D3
    D3 is one of the commuter rail lines of the Moscow Central Diameters urban rail system, connecting Moscow with its surrounding suburbs.
  • D. D3A
    D3A is the Japanese Navy designation for the Aichi D3A, a World War II carrier-based dive bomber used prominently in early Pacific War operations.
  • E. D-2
    D-2 was a 1993 German-led Spacelab space shuttle mission focused on microgravity and life sciences research in low Earth orbit.
  • 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: D03
Triple: [Federal Center SW station, hasCode, D03]
Generated description
D03 is the station code used to identify the Federal Center SW stop on the Washington Metro system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: D03
Target entity description: D03 is the station code used to identify the Federal Center SW stop on the Washington Metro system.
  • A. D0
    D0 is a major particle physics detector experiment at Fermilab’s Tevatron collider, designed to study high-energy proton–antiproton collisions and probe fundamental particles and forces.
  • B. D3
    D3 is the commonly used abbreviation for California Department of Transportation's District 3, which oversees state transportation infrastructure in part of Northern California.
  • C. D3
    D3 is one of the commuter rail lines of the Moscow Central Diameters urban rail system, connecting Moscow with its surrounding suburbs.
  • D. D3A
    D3A is the Japanese Navy designation for the Aichi D3A, a World War II carrier-based dive bomber used prominently in early Pacific War operations.
  • E. D-2
    D-2 was a 1993 German-led Spacelab space shuttle mission focused on microgravity and life sciences research in low Earth orbit.
  • 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_69bd4440b3348190be1251fd8b7951f1 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75a8ee7881908876859402911e5a completed March 20, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba9a19d881909f26b327273a95f1 completed March 21, 2026, 3:34 p.m.
NEDg Description generation batch_69bebb0c54c4819089eca12aae6e7613 completed March 21, 2026, 3:36 p.m.
NED2 Entity disambiguation (via description) batch_69bebb6fd0b08190a79a42e93689186b completed March 21, 2026, 3:38 p.m.
Created at: March 20, 2026, 1:41 p.m.