Triple

T12041383
Position Surface form Disambiguated ID Type / Status
Subject Energy Research Institute @ NTU E286667 entity
Predicate abbreviation P43 FINISHED
Object ERI@N
ERI@N is an energy research institute at Nanyang Technological University in Singapore that focuses on sustainable energy, smart grids, and related clean technology innovations.
 E961114 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: ERI@N | Statement: [Energy Research Institute @ NTU, abbreviation, ERI@N]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ERI@N
Context triple: [Energy Research Institute @ NTU, abbreviation, ERI@N]
  • A. ERI
    ERI is the Earthquake Research Institute of the University of Tokyo, a leading Japanese center for seismology and earthquake-related research.
  • B. ERI
    ERI is the former stock ticker symbol for Eldorado Resorts, a U.S.-based casino and hospitality company that later became part of Caesars Entertainment.
  • C. ERCI
    ERCI is the commonly used abbreviation for ERC Ingolstadt, a professional ice hockey club based in Ingolstadt, Germany.
  • D. ER3
    ER3 is the IATA aircraft type code used to designate the Embraer ERJ 135 regional jet.
  • E. EKiR
    EKiR is the Evangelical Church in the Rhineland, a regional Protestant church body within the Evangelical Church in Germany (EKD).
  • 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: ERI@N
Triple: [Energy Research Institute @ NTU, abbreviation, ERI@N]
Generated description
ERI@N is an energy research institute at Nanyang Technological University in Singapore that focuses on sustainable energy, smart grids, and related clean technology innovations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ERI@N
Target entity description: ERI@N is an energy research institute at Nanyang Technological University in Singapore that focuses on sustainable energy, smart grids, and related clean technology innovations.
  • A. ERI
    ERI is the Earthquake Research Institute of the University of Tokyo, a leading Japanese center for seismology and earthquake-related research.
  • B. ERI
    ERI is the former stock ticker symbol for Eldorado Resorts, a U.S.-based casino and hospitality company that later became part of Caesars Entertainment.
  • C. ERCI
    ERCI is the commonly used abbreviation for ERC Ingolstadt, a professional ice hockey club based in Ingolstadt, Germany.
  • D. ER3
    ER3 is the IATA aircraft type code used to designate the Embraer ERJ 135 regional jet.
  • E. EKiR
    EKiR is the Evangelical Church in the Rhineland, a regional Protestant church body within the Evangelical Church in Germany (EKD).
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040c1a6c8190aea1388e82dd8f5a completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49da728ec819080c349fd8d0ed62c completed May 1, 2026, 12:33 p.m.
NEDg Description generation batch_69f53d9460bc8190869f2b7d095d98cb completed May 1, 2026, 11:56 p.m.
NED2 Entity disambiguation (via description) batch_69f56495830c8190ad5e1767f251b4c5 completed May 2, 2026, 2:42 a.m.
Created at: April 8, 2026, 9:47 p.m.