Triple

T1263834
Position Surface form Disambiguated ID Type / Status
Subject Santiago Metropolitan Region E12558 entity
Predicate contains P35 FINISHED
Object Buin
Buin is a Chilean town and commune located south of Santiago, known for its agricultural activity and the Buin Zoo.
 E147695 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: Buin | Statement: [Santiago Metropolitan Region, contains, Buin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Buin
Context triple: [Santiago Metropolitan Region, contains, Buin]
  • A. Rutba
    Rutba is a remote desert town in western Iraq that serves as a key transit point on the highway linking Baghdad with Jordan and Syria.
  • B. Jowhar
    Jowhar is a town in southern Somalia that serves as the capital of the Middle Shabelle region and an important agricultural and administrative center.
  • C. Zhob
    Zhob is a town and district in northwestern Balochistan, Pakistan, known historically as a strategic frontier outpost and regional trade center near the Afghan border.
  • D. Gözleve
    Gözleve is the former name of Eupatoria, a historic port city on the western coast of Crimea known for its diverse cultural heritage and Black Sea location.
  • E. Golestan
    Golestan is a classic 13th-century Persian literary work by Saadi that blends prose and poetry to convey moral lessons and social commentary.
  • 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: Buin
Triple: [Santiago Metropolitan Region, contains, Buin]
Generated description
Buin is a Chilean town and commune located south of Santiago, known for its agricultural activity and the Buin Zoo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Buin
Target entity description: Buin is a Chilean town and commune located south of Santiago, known for its agricultural activity and the Buin Zoo.
  • A. Rutba
    Rutba is a remote desert town in western Iraq that serves as a key transit point on the highway linking Baghdad with Jordan and Syria.
  • B. Jowhar
    Jowhar is a town in southern Somalia that serves as the capital of the Middle Shabelle region and an important agricultural and administrative center.
  • C. Zhob
    Zhob is a town and district in northwestern Balochistan, Pakistan, known historically as a strategic frontier outpost and regional trade center near the Afghan border.
  • D. Gözleve
    Gözleve is the former name of Eupatoria, a historic port city on the western coast of Crimea known for its diverse cultural heritage and Black Sea location.
  • E. Golestan
    Golestan is a classic 13th-century Persian literary work by Saadi that blends prose and poetry to convey moral lessons and social commentary.
  • 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_69a4933352e08190ac617291985e76c0 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bfc8d6908190a5b2cf1051cc6d5e completed March 1, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69acacb3bf588190a6d042a01dfa31e5 completed March 7, 2026, 10:54 p.m.
NEDg Description generation batch_69acad20da088190a3b55a5d46e8d951 completed March 7, 2026, 10:56 p.m.
NED2 Entity disambiguation (via description) batch_69acae0392fc8190b644f4b233bbc3ff completed March 7, 2026, 11 p.m.
Created at: March 1, 2026, 7:50 p.m.