Triple

T1178645
Position Surface form Disambiguated ID Type / Status
Subject WES Commuter Rail E25084 entity
Predicate hasAbbreviation P43 FINISHED
Object WES
WES is a commuter rail service in the Portland, Oregon metropolitan area that connects Beaverton and Wilsonville.
 E134806 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: WES | Statement: [WES Commuter Rail, hasAbbreviation, WES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WES
Context triple: [WES Commuter Rail, hasAbbreviation, WES]
  • A. ESU
    ESU is a specialized police emergency response unit that handles high-risk situations such as tactical operations, rescues, and hazardous incidents.
  • B. WECA
    WECA is the former name of the Wi‑Fi Alliance, the global industry consortium that develops and certifies Wi‑Fi standards and interoperability.
  • C. WAS
    WAS is the standard three-letter abbreviation used for the Washington Commanders NFL franchise.
  • D. WAS
    WAS is the station code for Washington, D.C.’s main intercity and commuter rail hub, Union Station.
  • E. WAS
    WAS is the standard three-letter abbreviation used for the NBA team Washington Wizards.
  • 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: WES
Triple: [WES Commuter Rail, hasAbbreviation, WES]
Generated description
WES is a commuter rail service in the Portland, Oregon metropolitan area that connects Beaverton and Wilsonville.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WES
Target entity description: WES is a commuter rail service in the Portland, Oregon metropolitan area that connects Beaverton and Wilsonville.
  • A. ESU
    ESU is a specialized police emergency response unit that handles high-risk situations such as tactical operations, rescues, and hazardous incidents.
  • B. WECA
    WECA is the former name of the Wi‑Fi Alliance, the global industry consortium that develops and certifies Wi‑Fi standards and interoperability.
  • C. WAS
    WAS is the standard three-letter abbreviation used for the Washington Commanders NFL franchise.
  • D. WAS
    WAS is the station code for Washington, D.C.’s main intercity and commuter rail hub, Union Station.
  • E. WAS
    WAS is the standard three-letter abbreviation used for the NBA team Washington Wizards.
  • 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_69a494267b4c819088c97a59182bf56a completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd10ccc481908d5bcef648aab3c1 completed March 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac6f1cab308190bdb5ae1e01d83b61 completed March 7, 2026, 6:31 p.m.
NEDg Description generation batch_69ac6ff4c62881908cf88169e99d2983 completed March 7, 2026, 6:35 p.m.
NED2 Entity disambiguation (via description) batch_69ac704cdaf08190b77b0b9345537d84 completed March 7, 2026, 6:37 p.m.
Created at: March 1, 2026, 7:45 p.m.