Triple

T9217065
Position Surface form Disambiguated ID Type / Status
Subject LADOT Transit E221267 entity
Predicate hasService P182 FINISHED
Object DASH E221269 NE FINISHED

How this triple was built (2 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: DASH | Statement: [LADOT Transit, hasService, DASH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DASH
Context triple: [LADOT Transit, hasService, DASH]
  • A. DASH chosen
    DASH is a public transit brand used for local bus services in various cities, often providing neighborhood circulator and shuttle routes.
  • B. DASH
    DASH is the stock ticker symbol for DoorDash, Inc., a major U.S.-based food delivery and logistics platform traded on the New York Stock Exchange.
  • C. Alexandria DASH
    Alexandria DASH is a local bus transit system that provides public transportation services within the city of Alexandria, Virginia, as part of the greater Baltimore–Washington metropolitan area network.
  • D. DAS
    DAS is the acronym for the Defense Attache Service, the U.S. military organization that manages defense attachés and military diplomatic representation at American embassies worldwide.
  • E. DAP
    DAP (Directory Access Protocol) is an early X.500 directory service protocol that provided a complex, OSI-based method for accessing and managing directory information before being largely replaced by LDAP.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda0ae3d081908ff3f5dab52df5ae completed April 1, 2026, 8:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0661c4c2c8190bc5be991a3a75f2b completed April 4, 2026, 1:15 a.m.
Created at: March 30, 2026, 7:27 p.m.