Triple

T1359966
Position Surface form Disambiguated ID Type / Status
Subject French Guiana E29075 entity
Predicate hasCity P316 FINISHED
Object Matoury
Matoury is a commune in French Guiana located near Cayenne, known for its role as a suburban and economic hub that includes part of the area surrounding the Guiana Space Centre.
 E213851 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: Matoury | Statement: [French Guiana, hasCity, Matoury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matoury
Context triple: [French Guiana, hasCity, Matoury]
  • A. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • B. Tenjin
    Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
  • C. Suzuya
    Suzuya is a Japanese Mogami-class heavy cruiser of the Imperial Japanese Navy that served during World War II.
  • D. Kyodai
    Kyodai is the common abbreviated name for Kyoto University, one of Japan’s most prestigious national research universities.
  • E. Owada
    Owada is a Japanese surname most notably borne by Empress Masako of Japan and her family.
  • 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: Matoury
Triple: [French Guiana, hasCity, Matoury]
Generated description
Matoury is a commune in French Guiana located near Cayenne, known for its role as a suburban and economic hub that includes part of the area surrounding the Guiana Space Centre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matoury
Target entity description: Matoury is a commune in French Guiana located near Cayenne, known for its role as a suburban and economic hub that includes part of the area surrounding the Guiana Space Centre.
  • A. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • B. Tenjin
    Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
  • C. Suzuya
    Suzuya is a Japanese Mogami-class heavy cruiser of the Imperial Japanese Navy that served during World War II.
  • D. Sumoto
    Sumoto is a coastal city located on Awaji Island in Japan, known for its hot springs, scenic views of the Seto Inland Sea, and citrus production.
  • E. Kyodai
    Kyodai is the common abbreviated name for Kyoto University, one of Japan’s most prestigious national research universities.
  • 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_69a498d77abc8190913bf57e5f51d2c4 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c2b156b081909c99ada70a969fc0 completed March 1, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69adeab9dd008190a07b22ba3bd5bc22 completed March 8, 2026, 9:31 p.m.
NEDg Description generation batch_69adeb503ec88190b8d0cb17bbb8f520 completed March 8, 2026, 9:34 p.m.
NED2 Entity disambiguation (via description) batch_69adef13e030819086e9e8862198d859 completed March 8, 2026, 9:50 p.m.
Created at: March 1, 2026, 7:56 p.m.