Triple

T522424
Position Surface form Disambiguated ID Type / Status
Subject Liverpool Lime Street E10846 entity
Predicate hasIATAcode P2569 FINISHED
Object XRF
XRF is the IATA airport-style code assigned to Liverpool Lime Street railway station in Liverpool, England.
E65148 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: XRF | Statement: [Liverpool Lime Street, hasIATAcode, XRF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XRF
Context triple: [Liverpool Lime Street, hasIATAcode, XRF]
  • A. Photon Spectrometer
    The Photon Spectrometer is a specialized detector subsystem of the ALICE experiment at CERN designed to precisely measure and analyze high-energy photons produced in heavy-ion collisions.
  • B. PICA-X
    PICA-X is a SpaceX-developed, advanced heat shield material designed to protect Dragon spacecraft during the intense heat of atmospheric reentry.
  • C. l’X
    l’X is the traditional nickname of École Polytechnique, France’s elite engineering grande école renowned for its rigorous scientific education and prestigious alumni.
  • D. AFM
    AFM is the Dutch Authority for the Financial Markets, the national regulator overseeing fair and transparent operation of financial markets in the Netherlands.
  • E. XFS
    XFS is a high-performance 64-bit journaling file system originally developed by SGI, widely used on Linux for handling large files and parallel I/O workloads.
  • 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: XRF
Triple: [Liverpool Lime Street, hasIATAcode, XRF]
Generated description
XRF is the IATA airport-style code assigned to Liverpool Lime Street railway station in Liverpool, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: XRF
Target entity description: XRF is the IATA airport-style code assigned to Liverpool Lime Street railway station in Liverpool, England.
  • A. Photon Spectrometer
    The Photon Spectrometer is a specialized detector subsystem of the ALICE experiment at CERN designed to precisely measure and analyze high-energy photons produced in heavy-ion collisions.
  • B. PICA-X
    PICA-X is a SpaceX-developed, advanced heat shield material designed to protect Dragon spacecraft during the intense heat of atmospheric reentry.
  • C. l’X
    l’X is the traditional nickname of École Polytechnique, France’s elite engineering grande école renowned for its rigorous scientific education and prestigious alumni.
  • D. AFM
    AFM is the Dutch Authority for the Financial Markets, the national regulator overseeing fair and transparent operation of financial markets in the Netherlands.
  • E. XFS
    XFS is a high-performance 64-bit journaling file system originally developed by SGI, widely used on Linux for handling large files and parallel I/O workloads.
  • 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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1b372408190b3918fec45444674 completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4ab1f95cc8190a6e2dfc3636110b5 completed March 1, 2026, 9:09 p.m.
NEDg Description generation batch_69a4ab94bd988190a91a592622a9d77f completed March 1, 2026, 9:11 p.m.
NED2 Entity disambiguation (via description) batch_69a4ac04fb78819093c85d04b90cc8cb completed March 1, 2026, 9:13 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.