Triple

T1307155
Position Surface form Disambiguated ID Type / Status
Subject Episcopal Diocese of Maine E27904 entity
Predicate abbreviation P43 FINISHED
Object EDOM
EDOM is the commonly used abbreviation for the Episcopal Diocese of Maine, a regional jurisdiction of the Episcopal Church in the United States.
 E149328 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: EDOM | Statement: [Episcopal Diocese of Maine, abbreviation, EDOM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EDOM
Context triple: [Episcopal Diocese of Maine, abbreviation, EDOM]
  • A. Nedim
    Nedim was an influential 18th-century Ottoman poet renowned for his lively, hedonistic verse and as a leading figure of the Tulip Era in Turkish literature.
  • B. Endon
    Endon is a village in Staffordshire, England, known as the birthplace of early 20th-century poet and critic T. E. Hulme.
  • C. EDDI
    EDDI is the ICAO airport code for Berlin Tempelhof Airport, the historic inner-city airfield in Berlin, Germany.
  • D. Dueodde
    Dueodde is a coastal village on the Danish island of Bornholm, renowned for its exceptionally fine white sand beaches and scenic dunes.
  • E. Keda
    Keda is a small town and administrative center in the mountainous Adjara region of southwestern Georgia.
  • 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: EDOM
Triple: [Episcopal Diocese of Maine, abbreviation, EDOM]
Generated description
EDOM is the commonly used abbreviation for the Episcopal Diocese of Maine, a regional jurisdiction of the Episcopal Church in the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EDOM
Target entity description: EDOM is the commonly used abbreviation for the Episcopal Diocese of Maine, a regional jurisdiction of the Episcopal Church in the United States.
  • A. Nedim
    Nedim was an influential 18th-century Ottoman poet renowned for his lively, hedonistic verse and as a leading figure of the Tulip Era in Turkish literature.
  • B. Endon
    Endon is a village in Staffordshire, England, known as the birthplace of early 20th-century poet and critic T. E. Hulme.
  • C. EDDI
    EDDI is the ICAO airport code for Berlin Tempelhof Airport, the historic inner-city airfield in Berlin, Germany.
  • D. Dueodde
    Dueodde is a coastal village on the Danish island of Bornholm, renowned for its exceptionally fine white sand beaches and scenic dunes.
  • E. Keda
    Keda is a small town and administrative center in the mountainous Adjara region of southwestern Georgia.
  • 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_69a496d7d83481908f83085854e51328 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c1368038819089d1091cc43901a3 completed March 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb308fdcc8190b33da42f16cd65dd completed March 7, 2026, 11:21 p.m.
NEDg Description generation batch_69acb3a1978c819081cdc85f8fe10dd3 completed March 7, 2026, 11:24 p.m.
NED2 Entity disambiguation (via description) batch_69acb4132dbc8190b3e6c4880c33b7f2 completed March 7, 2026, 11:26 p.m.
Created at: March 1, 2026, 7:51 p.m.