Triple

T15251884
Position Surface form Disambiguated ID Type / Status
Subject Portuguese Indian rupia E364536 entity
Predicate subunitOf P28620 FINISHED
Object bazaruco
The bazaruco was a small-denomination coin used in Portuguese India as a fractional unit of the rupia.
 E1146037 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: bazaruco | Statement: [Portuguese Indian rupia, subunitOf, bazaruco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: bazaruco
Context triple: [Portuguese Indian rupia, subunitOf, bazaruco]
  • A. Bazuel
    Bazuel is a small commune in northern France, located in the Nord department within the Hauts-de-France region.
  • B. BAKIZA
    BAKIZA is the official Swahili language council of Zanzibar responsible for promoting, standardizing, and developing Kiswahili in the region.
  • C. Barutana
    Barutana is a historic gunpowder storage complex within Belgrade Fortress, now often used as a cultural and event space.
  • D. Buzan-ha
    Buzan-ha is a major subsect of Japanese Shingon Buddhism known for its headquarters at Hase-dera Temple and its emphasis on esoteric practices and pilgrimage.
  • E. BuZa
    BuZa is the commonly used abbreviation for the Dutch Ministry of Foreign Affairs (Ministerie van Buitenlandse Zaken).
  • 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: bazaruco
Triple: [Portuguese Indian rupia, subunitOf, bazaruco]
Generated description
The bazaruco was a small-denomination coin used in Portuguese India as a fractional unit of the rupia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: bazaruco
Target entity description: The bazaruco was a small-denomination coin used in Portuguese India as a fractional unit of the rupia.
  • A. Bazuel
    Bazuel is a small commune in northern France, located in the Nord department within the Hauts-de-France region.
  • B. BAKIZA
    BAKIZA is the official Swahili language council of Zanzibar responsible for promoting, standardizing, and developing Kiswahili in the region.
  • C. Barutana
    Barutana is a historic gunpowder storage complex within Belgrade Fortress, now often used as a cultural and event space.
  • D. Buzan-ha
    Buzan-ha is a major subsect of Japanese Shingon Buddhism known for its headquarters at Hase-dera Temple and its emphasis on esoteric practices and pilgrimage.
  • E. BuZa
    BuZa is the commonly used abbreviation for the Dutch Ministry of Foreign Affairs (Ministerie van Buitenlandse Zaken).
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f728648190b2c86e4528542b65 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5f390bc8190bc0180c118e1523c completed May 9, 2026, 7:44 a.m.
NEDg Description generation batch_69fee68055b88190afa0e3b1bc2b13bb completed May 9, 2026, 7:47 a.m.
NED2 Entity disambiguation (via description) batch_69fee7190a6c81908fa7376f3e3c5371 completed May 9, 2026, 7:49 a.m.
Created at: April 10, 2026, 3:13 a.m.