Triple

T12396150
Position Surface form Disambiguated ID Type / Status
Subject Erie Otters E296121 entity
Predicate abbreviation P43 FINISHED
Object ER
ER is the standard abbreviation used for the Erie Otters, a junior ice hockey team in the Ontario Hockey League.
 E982950 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: ER | Statement: [Erie Otters, abbreviation, ER]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ER
Context triple: [Erie Otters, abbreviation, ER]
  • A. ER
    ER is the zone code for Eastern Railway, one of the major railway zones of Indian Railways headquartered in Kolkata.
  • B. ER
    ER is the abbreviation used to designate the Eastern Region of British Rail, a major administrative division of the former British railway network covering eastern England.
  • C. ER
    ER is a critically acclaimed American medical drama television series that follows the personal and professional lives of staff in a busy Chicago emergency room.
  • D. ER
    ER is the vehicle registration code assigned to the German city of Erlangen in the state of Bavaria.
  • E. ER
    ER is the IATA airline designator assigned to SereneAir, a Pakistani low-cost carrier.
  • 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: ER
Triple: [Erie Otters, abbreviation, ER]
Generated description
ER is the standard abbreviation used for the Erie Otters, a junior ice hockey team in the Ontario Hockey League.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ER
Target entity description: ER is the standard abbreviation used for the Erie Otters, a junior ice hockey team in the Ontario Hockey League.
  • A. ER
    ER is the commonly used abbreviation for United Russia, the dominant ruling political party in the Russian Federation.
  • B. ER
    ER is the abbreviation used to designate the Eastern Region of British Rail, a major administrative division of the former British railway network covering eastern England.
  • C. ER
    ER is the vehicle registration code assigned to the German city of Erlangen in the state of Bavaria.
  • D. ER
    ER is the IATA airline designator assigned to SereneAir, a Pakistani low-cost carrier.
  • E. ER
    ER is a critically acclaimed American medical drama television series that follows the personal and professional lives of staff in a busy Chicago emergency room.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fd33f048190b205fd21dc513f6a completed April 10, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6347e27b4819085494babfe180488 completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f63674aa3c81908ba82a9d246b3b3a completed May 2, 2026, 5:37 p.m.
NED2 Entity disambiguation (via description) batch_69f63a9b32fc8190ab98492ff91d2a66 completed May 2, 2026, 5:55 p.m.
Created at: April 8, 2026, 9:54 p.m.