Triple

T18471713
Position Surface form Disambiguated ID Type / Status
Subject Arauco Province E451317 entity
Predicate capital P234 FINISHED
Object Lebu
Lebu is a coastal Chilean city that serves as an administrative and fishing center in the Biobío Region.
E1326330 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: Lebu | Statement: [Arauco Province, capital, Lebu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lebu
Context triple: [Arauco Province, capital, Lebu]
  • A. Bulebel
    Bulebel is an industrial and residential area forming part of the town of Żejtun in Malta.
  • B. Kwaluudhi
    Kwaluudhi is a dialect of the Ovambo language spoken by a specific Ovambo subgroup in northern Namibia.
  • C. Luchazi
    Luchazi is a Bantu language spoken primarily by the Luchazi people in eastern Angola and neighboring regions.
  • D. Dondo
    Dondo is an Austronesian language spoken in Central Sulawesi, Indonesia, belonging to the Tomini–Tolitoli subgroup.
  • E. Dondo
    Dondo is a town and district in central Mozambique known as an important railway and industrial hub near the port city of Beira in Sofala Province.
  • 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: Lebu
Triple: [Arauco Province, capital, Lebu]
Generated description
Lebu is a coastal Chilean city that serves as an administrative and fishing center in the Biobío Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lebu
Target entity description: Lebu is a coastal Chilean city that serves as an administrative and fishing center in the Biobío Region.
  • A. Bulebel
    Bulebel is an industrial and residential area forming part of the town of Żejtun in Malta.
  • B. Kwaluudhi
    Kwaluudhi is a dialect of the Ovambo language spoken by a specific Ovambo subgroup in northern Namibia.
  • C. Luchazi
    Luchazi is a Bantu language spoken primarily by the Luchazi people in eastern Angola and neighboring regions.
  • D. Dondo
    Dondo is an Austronesian language spoken in Central Sulawesi, Indonesia, belonging to the Tomini–Tolitoli subgroup.
  • E. Dondo
    Dondo is a town and district in central Mozambique known as an important railway and industrial hub near the port city of Beira in Sofala Province.
  • 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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53060ae2c8190bf0821bb0ea5bd59 completed April 19, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a043f29097881909bacb0df4ec9d307 completed May 13, 2026, 9:06 a.m.
NEDg Description generation batch_6a04407a51608190ba78d2c5337dd13f completed May 13, 2026, 9:12 a.m.
NED2 Entity disambiguation (via description) batch_6a04412ce3d481909044236be107de8d completed May 13, 2026, 9:15 a.m.
Created at: April 10, 2026, 11:34 a.m.