Triple

T10464405
Position Surface form Disambiguated ID Type / Status
Subject Lib Island E246753 entity
Predicate hasSettlement P1068 FINISHED
Object Lib
Lib is a small settlement located on Lib Island in the Marshall Islands, serving as one of the island's primary inhabited communities.
 E866207 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: Lib | Statement: [Lib Island, hasSettlement, Lib]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lib
Context triple: [Lib Island, hasSettlement, Lib]
  • A. LIBP
    LIBP is the ICAO airport code for Abruzzo Airport, a regional international airport serving the city of Pescara in central Italy.
  • B. LIBE
    LIBE is the European Parliament’s Committee on Civil Liberties, Justice and Home Affairs, responsible for issues such as fundamental rights, data protection, migration, and internal security within the EU.
  • C. LIBD
    LIBD is the ICAO airport code for Bari Karol Wojtyła Airport, the main international airport serving the city of Bari in southern Italy.
  • D. LIBID
    LIBID is a globally unique identifier (GUID) used in Microsoft's Component Object Model to identify type libraries.
  • E. LB
    LB is the former New York Stock Exchange ticker symbol for L Brands, the American retail company that owned brands such as Victoria’s Secret and Bath & Body Works.
  • 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: Lib
Triple: [Lib Island, hasSettlement, Lib]
Generated description
Lib is a small settlement located on Lib Island in the Marshall Islands, serving as one of the island's primary inhabited communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lib
Target entity description: Lib is a small settlement located on Lib Island in the Marshall Islands, serving as one of the island's primary inhabited communities.
  • A. LIBP
    LIBP is the ICAO airport code for Abruzzo Airport, a regional international airport serving the city of Pescara in central Italy.
  • B. LIBE
    LIBE is the European Parliament’s Committee on Civil Liberties, Justice and Home Affairs, responsible for issues such as fundamental rights, data protection, migration, and internal security within the EU.
  • C. LIBD
    LIBD is the ICAO airport code for Bari Karol Wojtyła Airport, the main international airport serving the city of Bari in southern Italy.
  • D. LIBID
    LIBID is a globally unique identifier (GUID) used in Microsoft's Component Object Model to identify type libraries.
  • E. LB
    LB is the two-letter ISO 3166-1 alpha-2 country code representing Lebanon.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50886c2a8819086da6c08356ec6bf completed April 7, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89fd865688190b0b5708481f397f4 completed April 10, 2026, 6:59 a.m.
NEDg Description generation batch_69d8a43ae8a48190b1c05b6a91dfed9a completed April 10, 2026, 7:18 a.m.
NED2 Entity disambiguation (via description) batch_69d8b8fe1b9c8190b5a4787797ad7120 completed April 10, 2026, 8:46 a.m.
Created at: April 6, 2026, 12:19 p.m.