Triple

T11828136
Position Surface form Disambiguated ID Type / Status
Subject Vasai E281309 entity
Predicate formerName P65 FINISHED
Object Bassein E277526 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: Bassein | Statement: [Vasai, formerName, Bassein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bassein
Context triple: [Vasai, formerName, Bassein]
  • A. Bassein chosen
    Bassein is a historic coastal town in western India, now known as Vasai, notable for its strategic port and colonial-era fortifications that played a key role in regional power struggles.
  • B. Jever
    Jever is a historic town in Lower Saxony, Germany, best known for its traditional North German architecture and the Jever Pilsener brewery.
  • C. Örtze
    Örtze is a river in Lower Saxony, Germany, known for flowing through the Lüneburg Heath before joining the Aller.
  • D. Bregava
    Bregava is a river in Bosnia and Herzegovina known for flowing through the town of Stolac before joining the Neretva River.
  • E. Oderberg
    Oderberg is a small historic town in northeastern Germany near the Oder River, known for its scenic natural surroundings and proximity to the Polish border.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5ec3a148190bb184ba0d481b16a completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1672e736481909ba5f867cb840039 completed April 29, 2026, 2:04 a.m.
Created at: April 8, 2026, 9:43 p.m.