Triple

T16448687
Position Surface form Disambiguated ID Type / Status
Subject Stato da Mar E399497 entity
Predicate hasPart P35 FINISHED
Object Modon E658016 NE FINISHED

How this triple was built (2 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: Modon | Statement: [Stato da Mar, hasPart, Modon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Modon
Context triple: [Stato da Mar, hasPart, Modon]
  • A. Modon chosen
    Modon is a historic port city in southwestern Greece, known today as Methoni, that served as a strategic Venetian stronghold and battleground in late medieval and early modern conflicts.
  • B. Modara
    Modara is a coastal urban neighborhood in Colombo, Sri Lanka, known for its port-adjacent location and dense residential and commercial activity.
  • C. Mundon
    Mundon is a small rural village in Essex, England, known for its historic church and atmospheric landscape near the town of Maldon.
  • D. Mudon
    Mudon is a town in southeastern Myanmar known for its proximity to the coast and its role as a local center of agriculture and trade within Mon State.
  • E. Mudon
    Mudon is a master-planned residential community in Dubai known for its family-friendly environment, townhouses, and extensive amenities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cdee44c8190ae0df20c58ff7558 completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f4b738881908f8a205466397f33 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:10 a.m.