Triple

T20747158
Position Surface form Disambiguated ID Type / Status
Subject Yaté E510615 entity
Predicate hasSettlement P1068 FINISHED
Object Goro
Goro is a settlement in the Yaté commune of New Caledonia, known for its proximity to major nickel mining operations and coastal landscapes.
 E1451577 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: Goro | Statement: [Yaté, hasSettlement, Goro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Goro
Context triple: [Yaté, hasSettlement, Goro]
  • A. Goro
    Goro is a four-armed Shokan prince and powerful sub-boss character from the Mortal Kombat fighting game series.
  • B. Goro
    Goro is a town located in the Bale Zone of the Oromia Region in southeastern Ethiopia.
  • C. Goro
    Goro is a coastal fishing town and municipality in Italy’s Emilia-Romagna region, known for its clam and mussel production along the Po River delta.
  • D. Goro
    Goro is a character in Puccini’s opera "Madama Butterfly," a marriage broker who arranges the ill-fated union between Cio-Cio San and the American naval officer Pinkerton.
  • E. Ryogo
    Ryogo is a Japanese given name most notably borne by theoretical physicist Ryogo Kubo, known for his contributions to statistical mechanics and the fluctuation-dissipation theorem.
  • 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: Goro
Triple: [Yaté, hasSettlement, Goro]
Generated description
Goro is a settlement in the Yaté commune of New Caledonia, known for its proximity to major nickel mining operations and coastal landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Goro
Target entity description: Goro is a settlement in the Yaté commune of New Caledonia, known for its proximity to major nickel mining operations and coastal landscapes.
  • A. Goro
    Goro is a four-armed Shokan prince and powerful sub-boss character from the Mortal Kombat fighting game series.
  • B. Goro
    Goro is a town located in the Bale Zone of the Oromia Region in southeastern Ethiopia.
  • C. Goro
    Goro is a coastal fishing town and municipality in Italy’s Emilia-Romagna region, known for its clam and mussel production along the Po River delta.
  • D. Goro
    Goro is a character in Puccini’s opera "Madama Butterfly," a marriage broker who arranges the ill-fated union between Cio-Cio San and the American naval officer Pinkerton.
  • E. Ryogo
    Ryogo is a Japanese given name most notably borne by theoretical physicist Ryogo Kubo, known for his contributions to statistical mechanics and the fluctuation-dissipation theorem.
  • 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c225c564819088f2461467698095 completed April 21, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08f8adc1308190b302f19106de7edb completed May 16, 2026, 11:07 p.m.
NEDg Description generation batch_6a08f9deb9248190af178b5c28728e00 completed May 16, 2026, 11:12 p.m.
NED2 Entity disambiguation (via description) batch_6a08fa80202c8190929f8f1b47d6fae4 completed May 16, 2026, 11:15 p.m.
Created at: April 16, 2026, 12:33 p.m.