Triple

T1599041
Position Surface form Disambiguated ID Type / Status
Subject District of Columbia Office of Tax and Revenue E34348 entity
Predicate alsoKnownAs P39 FINISHED
Object OTR
OTR is the District of Columbia’s government agency responsible for administering and collecting the city’s taxes and revenue.
 E180620 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: OTR | Statement: [District of Columbia Office of Tax and Revenue, alsoKnownAs, OTR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OTR
Context triple: [District of Columbia Office of Tax and Revenue, alsoKnownAs, OTR]
  • A. OTT
    OTT is the standard three-letter abbreviation used for the National Hockey League team, the Ottawa Senators.
  • B. OT
    OT is the abbreviation for Organisation Todt, the Nazi-era civil and military engineering group responsible for large-scale construction projects such as the Atlantic Wall.
  • C. OMTR
    OMTR was the NASDAQ stock ticker symbol for Omniture, a web analytics and online marketing optimization company later acquired by Adobe.
  • D. ORTA
    ORTA is the commonly used abbreviation for the U.S. Stevenson-Wydler Technology Innovation Act of 1980, a federal law that promotes the transfer of technology from government laboratories to the private sector.
  • E. TOR
    TOR is the standard three-letter abbreviation used to represent the Toronto Maple Leafs in sports standings, statistics, and media.
  • 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: OTR
Triple: [District of Columbia Office of Tax and Revenue, alsoKnownAs, OTR]
Generated description
OTR is the District of Columbia’s government agency responsible for administering and collecting the city’s taxes and revenue.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OTR
Target entity description: OTR is the District of Columbia’s government agency responsible for administering and collecting the city’s taxes and revenue.
  • A. OTT
    OTT is the standard three-letter abbreviation used for the National Hockey League team, the Ottawa Senators.
  • B. OT
    OT is the abbreviation for Organisation Todt, the Nazi-era civil and military engineering group responsible for large-scale construction projects such as the Atlantic Wall.
  • C. OMTR
    OMTR was the NASDAQ stock ticker symbol for Omniture, a web analytics and online marketing optimization company later acquired by Adobe.
  • D. ORTA
    ORTA is the commonly used abbreviation for the U.S. Stevenson-Wydler Technology Innovation Act of 1980, a federal law that promotes the transfer of technology from government laboratories to the private sector.
  • E. TOR
    TOR is the standard three-letter abbreviation used to represent the Toronto Maple Leafs in sports standings, statistics, and media.
  • 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_69a885fdcb9c819081ce6f0b8cd477dd completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90948ddb08190a6fc0597198a7946 completed March 5, 2026, 4:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad46aafce08190855f8e0b760ab5ac completed March 8, 2026, 9:51 a.m.
NEDg Description generation batch_69ad47c7108081908e78a24983353212 completed March 8, 2026, 9:56 a.m.
NED2 Entity disambiguation (via description) batch_69ad481e2c788190af51003898fcbe33 completed March 8, 2026, 9:57 a.m.
Created at: March 4, 2026, 7:27 p.m.