Triple

T4160765
Position Surface form Disambiguated ID Type / Status
Subject Kocher sign E91527 entity
Predicate associatedWith P37 FINISHED
Object Graves disease
Graves disease is an autoimmune disorder that causes hyperthyroidism, leading to symptoms such as weight loss, heat intolerance, goiter, and characteristic eye manifestations.
E417002 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: Graves disease | Statement: [Kocher sign, associatedWith, Graves disease]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Graves disease
Context triple: [Kocher sign, associatedWith, Graves disease]
  • A. Graves
    Graves is a renowned wine-producing subregion on the left bank of Bordeaux, France, famous for its gravelly soils and high-quality red and white wines.
  • B. Hashimoto
    Hashimoto is a city in Wakayama Prefecture, Japan, known as a regional hub between Osaka and the Kii Mountain range.
  • C. Graves classification
    Graves classification is a Bordeaux wine classification system that ranks and recognizes the quality of wines produced in the Graves region of Bordeaux, France.
  • D. Struma
    The Struma is a significant river in the Balkans that flows from western Bulgaria into Greece, ultimately emptying into the Aegean Sea.
  • E. SLE
    SLE is the three-letter ISO 3166-1 alpha-3 country code assigned to Sierra Leone.
  • 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: Graves disease
Triple: [Kocher sign, associatedWith, Graves disease]
Generated description
Graves disease is an autoimmune disorder that causes hyperthyroidism, leading to symptoms such as weight loss, heat intolerance, goiter, and characteristic eye manifestations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Graves disease
Target entity description: Graves disease is an autoimmune disorder that causes hyperthyroidism, leading to symptoms such as weight loss, heat intolerance, goiter, and characteristic eye manifestations.
  • A. Graves
    Graves is a renowned wine-producing subregion on the left bank of Bordeaux, France, famous for its gravelly soils and high-quality red and white wines.
  • B. Hashimoto
    Hashimoto is a city in Wakayama Prefecture, Japan, known as a regional hub between Osaka and the Kii Mountain range.
  • C. Graves classification
    Graves classification is a Bordeaux wine classification system that ranks and recognizes the quality of wines produced in the Graves region of Bordeaux, France.
  • D. Struma
    The Struma is a significant river in the Balkans that flows from western Bulgaria into Greece, ultimately emptying into the Aegean Sea.
  • E. SLE
    SLE is a mid-level trim package for GMC vehicles that typically adds upgraded comfort, convenience, and appearance features over the base model.
  • 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_69aed9626ebc8190a39de631788bea3e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af029454d08190b7ff32776081fabc completed March 9, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f42f2cc8190ae10ea12273c930a completed March 14, 2026, 3:31 p.m.
NEDg Description generation batch_69b5800a12e48190b184373464930b1e completed March 14, 2026, 3:34 p.m.
NED2 Entity disambiguation (via description) batch_69b580af3eb88190a89d5827e32293c1 completed March 14, 2026, 3:37 p.m.
Created at: March 9, 2026, 3:44 p.m.