Triple

T8307279
Position Surface form Disambiguated ID Type / Status
Subject Oval Underground Station E194493 entity
Predicate stationCode P1289 FINISHED
Object OVL
OVL is the three-letter National Rail station code used to identify Oval Underground Station on London's public transport network.
 E724802 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: OVL | Statement: [Oval Underground Station, stationCode, OVL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OVL
Context triple: [Oval Underground Station, stationCode, OVL]
  • A. Ovrkast
    Ovrkast is an American hip-hop producer and rapper known for his moody, jazz-inflected beats and collaborations with prominent contemporary rap artists.
  • B. OVDAS
    OVDAS is a Chilean volcanic monitoring and surveillance agency responsible for observing and assessing volcanic activity across the country.
  • C. OLY
    OLY is the commonly used abbreviation for Olympiacos FC, a major Greek football club based in Piraeus.
  • D. OVRA
    OVRA was the secret police force of Fascist Italy, notorious for its surveillance, repression of political opponents, and enforcement of Mussolini’s authoritarian rule.
  • E. OVB
    OVB is the IATA airport code for Tolmachevo Airport, the main international airport serving Novosibirsk, Russia.
  • 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: OVL
Triple: [Oval Underground Station, stationCode, OVL]
Generated description
OVL is the three-letter National Rail station code used to identify Oval Underground Station on London's public transport network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OVL
Target entity description: OVL is the three-letter National Rail station code used to identify Oval Underground Station on London's public transport network.
  • A. Ovrkast
    Ovrkast is an American hip-hop producer and rapper known for his moody, jazz-inflected beats and collaborations with prominent contemporary rap artists.
  • B. OVDAS
    OVDAS is a Chilean volcanic monitoring and surveillance agency responsible for observing and assessing volcanic activity across the country.
  • C. OLY
    OLY is the commonly used abbreviation for Olympiacos FC, a major Greek football club based in Piraeus.
  • D. OVRA
    OVRA was the secret police force of Fascist Italy, notorious for its surveillance, repression of political opponents, and enforcement of Mussolini’s authoritarian rule.
  • E. OVB
    OVB is the IATA airport code for Tolmachevo Airport, the main international airport serving Novosibirsk, Russia.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f2a86bc81909749c40c640aa9f8 completed March 31, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd955100448190862fd52d660585fd completed April 1, 2026, 9:59 p.m.
NEDg Description generation batch_69cda342c10881908ebafc7853815424 completed April 1, 2026, 10:59 p.m.
NED2 Entity disambiguation (via description) batch_69cdab736f208190a90bd4344b21a22c completed April 1, 2026, 11:34 p.m.
Created at: March 30, 2026, 5:54 p.m.