Triple

T4015049
Position Surface form Disambiguated ID Type / Status
Subject Cessnock subway station E90735 entity
Predicate hasStationCode P1289 FINISHED
Object CES
CES is the station code used to identify Cessnock subway station on the Glasgow Subway network.
 E405736 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: CES | Statement: [Cessnock subway station, hasStationCode, CES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CES
Context triple: [Cessnock subway station, hasStationCode, CES]
  • A. CES
    CES is a high-resolution astronomical spectrograph used on the ESO 3.6-metre telescope for detailed spectroscopic studies of celestial objects.
  • B. CES
    CES is the ICAO airline designator used to identify China Eastern Airlines in international aviation operations.
  • C. CES
    CES is the commonly used abbreviation for the U.S. Committee on Economic Security, the New Deal–era body that helped design foundational social welfare programs like Social Security.
  • D. MWC
    MWC is the commonly used abbreviation for Mennonite World Conference, a global community and fellowship of Anabaptist-related churches.
  • E. IDG World Expo
    IDG World Expo is a trade show and conference organizer known for producing major technology events and exhibitions worldwide.
  • 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: CES
Triple: [Cessnock subway station, hasStationCode, CES]
Generated description
CES is the station code used to identify Cessnock subway station on the Glasgow Subway network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CES
Target entity description: CES is the station code used to identify Cessnock subway station on the Glasgow Subway network.
  • A. CES
    CES is the commonly used abbreviation for the U.S. Committee on Economic Security, the New Deal–era body that helped design foundational social welfare programs like Social Security.
  • B. CES
    CES is the ICAO airline designator used to identify China Eastern Airlines in international aviation operations.
  • C. CES
    CES is a high-resolution astronomical spectrograph used on the ESO 3.6-metre telescope for detailed spectroscopic studies of celestial objects.
  • D. MWC
    MWC is the commonly used abbreviation for Mennonite World Conference, a global community and fellowship of Anabaptist-related churches.
  • E. IDG World Expo
    IDG World Expo is a trade show and conference organizer known for producing major technology events and exhibitions worldwide.
  • 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_69aed95e44088190aff7d90a151b1b20 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaa5afdc8190b709af2473d75d02 completed March 9, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c768e5481908b184332e3c73588 completed March 14, 2026, 11:54 a.m.
NEDg Description generation batch_69b54d06c7c881908b30ba813c009d25 completed March 14, 2026, 11:56 a.m.
NED2 Entity disambiguation (via description) batch_69b54d739e588190b23c06b10b4f540e completed March 14, 2026, 11:58 a.m.
Created at: March 9, 2026, 3:35 p.m.