Triple

T17133442
Position Surface form Disambiguated ID Type / Status
Subject Cape Tainaron E415776 entity
Predicate historicalName P65 FINISHED
Object Tenaro
Tenaro is the historical name for Cape Tainaron, the southernmost tip of mainland Greece, long associated with ancient myths and maritime navigation.
 E1253008 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: Tenaro | Statement: [Cape Tainaron, historicalName, Tenaro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tenaro
Context triple: [Cape Tainaron, historicalName, Tenaro]
  • A. Taneti
    Taneti is the given name of Taneti Maamau, the President of Kiribati.
  • B. Toconao
    Toconao is a small desert village in northern Chile known for its traditional Atacameño culture, adobe architecture, and proximity to the Atacama Desert’s salt flats and high-altitude landscapes.
  • C. Teni
    Teni is a Nigerian singer-songwriter and entertainer known for her catchy Afropop hits and playful, charismatic style.
  • D. Tenjo
    Tenjo is a district in West Java, Indonesia, known as part of the greater Bogor area on the outskirts of Jakarta.
  • E. Tenjo
    Tenjo is a small municipality and town in the department of Cundinamarca, Colombia, known for its rural landscapes and proximity to Bogotá.
  • 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: Tenaro
Triple: [Cape Tainaron, historicalName, Tenaro]
Generated description
Tenaro is the historical name for Cape Tainaron, the southernmost tip of mainland Greece, long associated with ancient myths and maritime navigation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tenaro
Target entity description: Tenaro is the historical name for Cape Tainaron, the southernmost tip of mainland Greece, long associated with ancient myths and maritime navigation.
  • A. Taneti
    Taneti is the given name of Taneti Maamau, the President of Kiribati.
  • B. Toconao
    Toconao is a small desert village in northern Chile known for its traditional Atacameño culture, adobe architecture, and proximity to the Atacama Desert’s salt flats and high-altitude landscapes.
  • C. Teni
    Teni is a Nigerian singer-songwriter and entertainer known for her catchy Afropop hits and playful, charismatic style.
  • D. Tenjo
    Tenjo is a district in West Java, Indonesia, known as part of the greater Bogor area on the outskirts of Jakarta.
  • E. Tenjo
    Tenjo is a small municipality and town in the department of Cundinamarca, Colombia, known for its rural landscapes and proximity to Bogotá.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f02cbb7881908aa69c3443d149d5 completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01414eca3c8190aeec22fab3b5e767 completed May 11, 2026, 2:39 a.m.
NEDg Description generation batch_6a01423a771881908c2eaff14e335ee2 completed May 11, 2026, 2:43 a.m.
NED2 Entity disambiguation (via description) batch_6a01430b7e008190bc3366cc89564409 completed May 11, 2026, 2:46 a.m.
Created at: April 10, 2026, 5:36 a.m.