Triple

T12678275
Position Surface form Disambiguated ID Type / Status
Subject Ostrołęka E302877 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object WOS
WOS is the regional vehicle registration code assigned to the city and county of Ostrołęka in Poland.
E996758 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: WOS | Statement: [Ostrołęka, vehicleRegistrationCode, WOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WOS
Context triple: [Ostrołęka, vehicleRegistrationCode, WOS]
  • A. Wos
    Wos is a surname most notably associated with Larry Wos, an American mathematician and pioneer in automated theorem proving.
  • B. WoS
    WoS is a racing-themed video game centered on high-speed car competitions and online multiplayer gameplay.
  • C. WOR
    WOR is a historic New York City AM radio station known for its long-running news, talk, and entertainment programming.
  • D. WPO
    WPO is the former stock ticker symbol for The Washington Post Company, the media conglomerate that owned The Washington Post newspaper before reorganizing as Graham Holdings Company.
  • E. WST
    WST is an organization dedicated to advancing the interdisciplinary study and development of the World Wide Web and its impact on society.
  • 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: WOS
Triple: [Ostrołęka, vehicleRegistrationCode, WOS]
Generated description
WOS is the regional vehicle registration code assigned to the city and county of Ostrołęka in Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WOS
Target entity description: WOS is the regional vehicle registration code assigned to the city and county of Ostrołęka in Poland.
  • A. Wos
    Wos is a surname most notably associated with Larry Wos, an American mathematician and pioneer in automated theorem proving.
  • B. WoS
    WoS is a racing-themed video game centered on high-speed car competitions and online multiplayer gameplay.
  • C. WOR
    WOR is a historic New York City AM radio station known for its long-running news, talk, and entertainment programming.
  • D. WPO
    WPO is the former stock ticker symbol for The Washington Post Company, the media conglomerate that owned The Washington Post newspaper before reorganizing as Graham Holdings Company.
  • E. WST
    WST is an organization dedicated to advancing the interdisciplinary study and development of the World Wide Web and its impact on society.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961b1dff48190923290555ece5d89 completed April 10, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671a341288190822fae2469efea09 completed May 2, 2026, 9:50 p.m.
NEDg Description generation batch_69f672ac07908190bd2dfe90d55a13c1 completed May 2, 2026, 9:54 p.m.
NED2 Entity disambiguation (via description) batch_69f67360b530819085d5db2aa0b7513d completed May 2, 2026, 9:57 p.m.
Created at: April 9, 2026, 5:20 p.m.