Triple

T5502028
Position Surface form Disambiguated ID Type / Status
Subject Freight Operating Companies E144350 entity
Predicate alsoKnownAs P39 FINISHED
Object FOCs
FOCs are rail freight operating companies in the United Kingdom that run cargo train services on the national rail network.
E530535 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: FOCs | Statement: [Freight Operating Companies, alsoKnownAs, FOCs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FOCs
Context triple: [Freight Operating Companies, alsoKnownAs, FOCs]
  • A. FOCAS
    FOCAS is an optical camera and spectrograph instrument used on the Subaru Telescope for detailed imaging and spectroscopic observations of astronomical objects.
  • B. FOS
    FOS is a Hubble Space Telescope instrument designed to obtain spectra of very faint astronomical objects across a wide range of wavelengths.
  • C. FOSL
    FOSL is the stock ticker symbol for Fossil Group, an American fashion company best known for its watches, jewelry, and accessories.
  • D. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • E. FSoS
    FSoS is the commonly used abbreviation for the United Kingdom government position of First Secretary of State, a senior ministerial role often seen as deputy to the Prime Minister.
  • 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: FOCs
Triple: [Freight Operating Companies, alsoKnownAs, FOCs]
Generated description
FOCs are rail freight operating companies in the United Kingdom that run cargo train services on the national rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FOCs
Target entity description: FOCs are rail freight operating companies in the United Kingdom that run cargo train services on the national rail network.
  • A. FOCAS
    FOCAS is an optical camera and spectrograph instrument used on the Subaru Telescope for detailed imaging and spectroscopic observations of astronomical objects.
  • B. FOS
    FOS is a Hubble Space Telescope instrument designed to obtain spectra of very faint astronomical objects across a wide range of wavelengths.
  • C. FOSL
    FOSL is the stock ticker symbol for Fossil Group, an American fashion company best known for its watches, jewelry, and accessories.
  • D. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • E. FSoS
    FSoS is the commonly used abbreviation for the United Kingdom government position of First Secretary of State, a senior ministerial role often seen as deputy to the Prime Minister.
  • 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_69c008f5a2748190bce7a39aabf87a6d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f0a512c81908f077378917e5879 completed March 22, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027a67d648190ac8d097202c8ec3d completed March 22, 2026, 5:32 p.m.
NEDg Description generation batch_69c037b4e04881908d07e704f2a161bb completed March 22, 2026, 6:40 p.m.
NED2 Entity disambiguation (via description) batch_69c0384d023081909cb0d4ba4b80c07e completed March 22, 2026, 6:43 p.m.
Created at: March 22, 2026, 3:32 p.m.