Triple

T10722677
Position Surface form Disambiguated ID Type / Status
Subject Ogooué-Maritime Province E252860 entity
Predicate containsTown P847 FINISHED
Object Gamba
Gamba is a coastal town in southwestern Gabon known for its oil industry and proximity to rich rainforest and marine ecosystems.
E882206 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: Gamba | Statement: [Ogooué-Maritime Province, containsTown, Gamba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gamba
Context triple: [Ogooué-Maritime Province, containsTown, Gamba]
  • A. Gamba
    Gamba is a professional Japanese football club based in Suita, Osaka, competing in the J1 League.
  • B. 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.
  • C. Kashiwa
    Kashiwa is a city in Chiba Prefecture, Japan, known as a residential and commercial hub within the Greater Tokyo metropolitan area.
  • D. Kashima Kikō
    Kashima Kikō is a travel diary by the Japanese haiku master Matsuo Bashō, recounting his poetic journey to the Kashima Shrine and surrounding regions.
  • E. Levanga Hokkaido
    Levanga Hokkaido is a professional basketball team based in Sapporo, Japan, competing in the country’s top-tier B.League.
  • 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: Gamba
Triple: [Ogooué-Maritime Province, containsTown, Gamba]
Generated description
Gamba is a coastal town in southwestern Gabon known for its oil industry and proximity to rich rainforest and marine ecosystems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gamba
Target entity description: Gamba is a coastal town in southwestern Gabon known for its oil industry and proximity to rich rainforest and marine ecosystems.
  • A. Gamba
    Gamba is a professional Japanese football club based in Suita, Osaka, competing in the J1 League.
  • B. 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.
  • C. Kashiwa
    Kashiwa is a city in Chiba Prefecture, Japan, known as a residential and commercial hub within the Greater Tokyo metropolitan area.
  • D. Kashima Kikō
    Kashima Kikō is a travel diary by the Japanese haiku master Matsuo Bashō, recounting his poetic journey to the Kashima Shrine and surrounding regions.
  • E. Levanga Hokkaido
    Levanga Hokkaido is a professional basketball team based in Sapporo, Japan, competing in the country’s top-tier B.League.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d70d44d0048190a78aae2357e864a5 completed April 9, 2026, 2:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbb738f8488190837a675b82ce75aa completed April 12, 2026, 3:16 p.m.
NEDg Description generation batch_69dbbbe545748190b2bdbc3a75224eb0 completed April 12, 2026, 3:36 p.m.
NED2 Entity disambiguation (via description) batch_69dbc59b315081909362892f5b989d25 completed April 12, 2026, 4:17 p.m.
Created at: April 8, 2026, 9:13 p.m.