Triple

T17790003
Position Surface form Disambiguated ID Type / Status
Subject Huaura Province E444131 entity
Predicate hasNotableTown P14082 FINISHED
Object Sayán
Sayán is a small Peruvian town in the Lima region, known for its agricultural production and warm valley climate.
 E1288612 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: Sayán | Statement: [Huaura Province, hasNotableTown, Sayán]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sayán
Context triple: [Huaura Province, hasNotableTown, Sayán]
  • A. Sayran
    Sayran is a metro station on the Almaty Metro system in Almaty, Kazakhstan.
  • B. Sayhun
    Sayhun is an alternative transliteration of the name Seyhun, which is often associated with the historical Jaxartes/Syr Darya river region in Central Asia.
  • C. Bayanhot
    Bayanhot is the administrative center and main urban settlement of Alxa League in western Inner Mongolia, China.
  • D. Sayanse
    Sayanse is an alternative name for Sayanci, a language spoken by the Sayawa people of northern Nigeria.
  • E. Shughni
    Shughni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan, known for its use among the Shughni people in the Pamir Mountains.
  • 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: Sayán
Triple: [Huaura Province, hasNotableTown, Sayán]
Generated description
Sayán is a small Peruvian town in the Lima region, known for its agricultural production and warm valley climate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sayán
Target entity description: Sayán is a small Peruvian town in the Lima region, known for its agricultural production and warm valley climate.
  • A. Sayran
    Sayran is a metro station on the Almaty Metro system in Almaty, Kazakhstan.
  • B. Sayhun
    Sayhun is an alternative transliteration of the name Seyhun, which is often associated with the historical Jaxartes/Syr Darya river region in Central Asia.
  • C. Bayanhot
    Bayanhot is the administrative center and main urban settlement of Alxa League in western Inner Mongolia, China.
  • D. Sayanse
    Sayanse is an alternative name for Sayanci, a language spoken by the Sayawa people of northern Nigeria.
  • E. Shughni
    Shughni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan, known for its use among the Shughni people in the Pamir Mountains.
  • 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4879688908190a5428b1fa7525f62 completed April 19, 2026, 7:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02f83854388190bfa27b6adbf2b364 completed May 12, 2026, 9:51 a.m.
NEDg Description generation batch_6a02f9e9f38c81908de58994c086b52f completed May 12, 2026, 9:59 a.m.
NED2 Entity disambiguation (via description) batch_6a02fadc5d4481908f7e7139a83c02bc completed May 12, 2026, 10:03 a.m.
Created at: April 10, 2026, 10:13 a.m.