Triple

T11464449
Position Surface form Disambiguated ID Type / Status
Subject Worcester Academy E271744 entity
Predicate nickname P55 FINISHED
Object WA
WA is the commonly used abbreviation for Worcester Academy, a private college-preparatory school in Worcester, Massachusetts.
 E927896 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: WA | Statement: [Worcester Academy, nickname, WA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WA
Context triple: [Worcester Academy, nickname, WA]
  • A. WA
    WA is the vehicle registration code used on license plates for cars registered in Warsaw, the capital city of Poland.
  • B. WA
    WA is a UK postcode area covering parts of Warrington and surrounding towns in northwest England.
  • C. WA
    WA is the IATA airline designator assigned to KLM Cityhopper, the regional subsidiary of KLM Royal Dutch Airlines.
  • D. Wa State
    Wa State is an autonomous, self-administered region in northern Myanmar predominantly inhabited by the Wa ethnic group and governed by the United Wa State Army.
  • E. Washington
    Washington is the given first name of Uruguayan former professional footballer and coach Sebastián "Loco" Abreu.
  • 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: WA
Triple: [Worcester Academy, nickname, WA]
Generated description
WA is the commonly used abbreviation for Worcester Academy, a private college-preparatory school in Worcester, Massachusetts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WA
Target entity description: WA is the commonly used abbreviation for Worcester Academy, a private college-preparatory school in Worcester, Massachusetts.
  • A. WA
    WA is the vehicle registration code used on license plates for cars registered in Warsaw, the capital city of Poland.
  • B. WA
    WA is a UK postcode area covering parts of Warrington and surrounding towns in northwest England.
  • C. WA
    WA is the IATA airline designator assigned to KLM Cityhopper, the regional subsidiary of KLM Royal Dutch Airlines.
  • D. Wa State
    Wa State is an autonomous, self-administered region in northern Myanmar predominantly inhabited by the Wa ethnic group and governed by the United Wa State Army.
  • E. Washington
    Washington is the given first name of Uruguayan former professional footballer and coach Sebastián "Loco" Abreu.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f488248190b9f603cd31c72174 completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e92a7c2881908d85009a6069b2e4 completed April 20, 2026, 8:51 a.m.
NEDg Description generation batch_69e5f1593c2c8190885f80ad5eeba3ec completed April 20, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_69e5f87bbd988190ac388a3c34b2e95a completed April 20, 2026, 9:57 a.m.
Created at: April 8, 2026, 9:35 p.m.