Triple

T10014917
Position Surface form Disambiguated ID Type / Status
Subject Aichi Prefecture E199464 entity
Predicate containsCity P294 FINISHED
Object Hekinan
Hekinan is a coastal industrial city in central Japan known for its manufacturing sector and location along Mikawa Bay in Aichi Prefecture.
 E836253 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: Hekinan | Statement: [Aichi Prefecture, containsCity, Hekinan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hekinan
Context triple: [Aichi Prefecture, containsCity, Hekinan]
  • A. Hekari
    Hekari is a regional dialect of the Kurmanji variety of the Kurdish language, spoken in parts of the Hakkari region.
  • B. Kāne-hekili
    Kāne-hekili is a Hawaiian deity aspect associated with thunder, often regarded as a powerful manifestation of the god Kāne in storm and weather phenomena.
  • C. Vahun
    Vahun is a town in northwestern Liberia that serves as one of the local settlements within Lofa County near the border with Sierra Leone.
  • D. Hannō
    Hannō is a suburban city in Saitama Prefecture, Japan, known as a residential and commuter town within the Greater Tokyo area.
  • E. Hein
    Hein is a Dutch surname most notably borne by Piet Hein, a renowned 17th-century naval officer and folk hero of the Dutch Republic.
  • 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: Hekinan
Triple: [Aichi Prefecture, containsCity, Hekinan]
Generated description
Hekinan is a coastal industrial city in central Japan known for its manufacturing sector and location along Mikawa Bay in Aichi Prefecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hekinan
Target entity description: Hekinan is a coastal industrial city in central Japan known for its manufacturing sector and location along Mikawa Bay in Aichi Prefecture.
  • A. Hekari
    Hekari is a regional dialect of the Kurmanji variety of the Kurdish language, spoken in parts of the Hakkari region.
  • B. Kāne-hekili
    Kāne-hekili is a Hawaiian deity aspect associated with thunder, often regarded as a powerful manifestation of the god Kāne in storm and weather phenomena.
  • C. Vahun
    Vahun is a town in northwestern Liberia that serves as one of the local settlements within Lofa County near the border with Sierra Leone.
  • D. Hannō
    Hannō is a suburban city in Saitama Prefecture, Japan, known as a residential and commuter town within the Greater Tokyo area.
  • E. Hein
    Hein is a Dutch surname most notably borne by Piet Hein, a renowned 17th-century naval officer and folk hero of the Dutch Republic.
  • 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_69ca8315a1a08190ab310f25620f362b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd49b19c8190b429e3533d072648 completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a8f6f3081909310e28725d31f7e completed April 5, 2026, 1:58 p.m.
NEDg Description generation batch_69d26b84271881909c3a1b8a05e2c8a2 completed April 5, 2026, 2:02 p.m.
NED2 Entity disambiguation (via description) batch_69d26f50dc008190866f0ba45b671560 completed April 5, 2026, 2:18 p.m.
Created at: March 30, 2026, 8:52 p.m.