Triple

T10788268
Position Surface form Disambiguated ID Type / Status
Subject Petts Wood railway station E254503 entity
Predicate hasStationCode P1289 FINISHED
Object PET
PET is the National Rail station code assigned to Petts Wood railway station in the London Borough of Bromley, England.
 E885941 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: PET | Statement: [Petts Wood railway station, hasStationCode, PET]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PET
Context triple: [Petts Wood railway station, hasStationCode, PET]
  • A. PET
    PET is the standard time zone used in Peru, corresponding to UTC−5 hours.
  • B. PTBT
    PTBT is the commonly used abbreviation for the Partial Nuclear Test Ban Treaty, an international agreement that prohibits nuclear weapon tests in the atmosphere, outer space, and underwater.
  • C. PEG
    PEG is a German vehicle registration code assigned to the Bayreuth district region.
  • D. PEG
    PEG is the stock ticker symbol for Public Service Enterprise Group, a major U.S. energy company primarily involved in regulated electric and gas utility operations and power generation.
  • E. PEG
    PEG is the IATA airport code for Perugia San Francesco d’Assisi – Umbria International Airport in central Italy.
  • 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: PET
Triple: [Petts Wood railway station, hasStationCode, PET]
Generated description
PET is the National Rail station code assigned to Petts Wood railway station in the London Borough of Bromley, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PET
Target entity description: PET is the National Rail station code assigned to Petts Wood railway station in the London Borough of Bromley, England.
  • A. PET
    PET is the standard time zone used in Peru, corresponding to UTC−5 hours.
  • B. PTBT
    PTBT is the commonly used abbreviation for the Partial Nuclear Test Ban Treaty, an international agreement that prohibits nuclear weapon tests in the atmosphere, outer space, and underwater.
  • C. PEG
    PEG is a German vehicle registration code assigned to the Bayreuth district region.
  • D. PEG
    PEG is the stock ticker symbol for Public Service Enterprise Group, a major U.S. energy company primarily involved in regulated electric and gas utility operations and power generation.
  • E. PEG
    PEG is the IATA airport code for Perugia San Francesco d’Assisi – Umbria International Airport in central Italy.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732d65fcc8190ab5573a861409c56 completed April 9, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69de562873b081908bea08c56b1c1e3f completed April 14, 2026, 2:58 p.m.
NEDg Description generation batch_69de5eadb9448190bdf69711394e2ab7 completed April 14, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69de607917808190922df6521d7bfb07 completed April 14, 2026, 3:42 p.m.
Created at: April 8, 2026, 9:17 p.m.