Triple

T3463352
Position Surface form Disambiguated ID Type / Status
Subject Oxford Circus Underground station E73078 entity
Predicate hasStationCode P1289 FINISHED
Object OXC
OXC is the three-letter station code for Oxford Circus, a major London Underground interchange in the West End.
 E358684 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: OXC | Statement: [Oxford Circus Underground station, hasStationCode, OXC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OXC
Context triple: [Oxford Circus Underground station, hasStationCode, OXC]
  • A. OVS
    OVS is the New York State agency that provides financial assistance, advocacy, and support services to victims of crime.
  • B. Elxsi
    Elxsi was a computer company known for developing high-performance minicomputers and multiprocessor systems in the late 20th century.
  • C. OFC
    OFC is a leading international conference and exhibition focused on optical fiber communication and networking technologies.
  • D. OFC
    OFC is the Oceania Football Confederation, the governing body for association football in the Oceania region and one of FIFA’s six continental confederations.
  • E. XFP
    XFP is a compact, hot-swappable 10 Gigabit optical transceiver module form factor commonly used in high-speed Ethernet and fiber-optic communication links.
  • 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: OXC
Triple: [Oxford Circus Underground station, hasStationCode, OXC]
Generated description
OXC is the three-letter station code for Oxford Circus, a major London Underground interchange in the West End.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OXC
Target entity description: OXC is the three-letter station code for Oxford Circus, a major London Underground interchange in the West End.
  • A. OVS
    OVS is the New York State agency that provides financial assistance, advocacy, and support services to victims of crime.
  • B. Elxsi
    Elxsi was a computer company known for developing high-performance minicomputers and multiprocessor systems in the late 20th century.
  • C. OFC
    OFC is a leading international conference and exhibition focused on optical fiber communication and networking technologies.
  • D. OFC
    OFC is the Oceania Football Confederation, the governing body for association football in the Oceania region and one of FIFA’s six continental confederations.
  • E. XFP
    XFP is a compact, hot-swappable 10 Gigabit optical transceiver module form factor commonly used in high-speed Ethernet and fiber-optic communication links.
  • 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_69ad85b224d481908ff8be51338d24ff completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb0b73f481908c9f8d2b9b9bbbaf completed March 8, 2026, 6:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3612392308190b73dc2c757d02742 completed March 13, 2026, 12:58 a.m.
NEDg Description generation batch_69b362247e008190b0f708056b353f7b completed March 13, 2026, 1:02 a.m.
NED2 Entity disambiguation (via description) batch_69b362861bb48190a604de7bfdd6296d completed March 13, 2026, 1:04 a.m.
Created at: March 8, 2026, 3:17 p.m.