Triple

T4754096
Position Surface form Disambiguated ID Type / Status
Subject Stormvloedkering Hollandse IJssel E105544 entity
Predicate alsoKnownAs P39 FINISHED
Object Algerakering E166830 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: Algerakering | Statement: [Stormvloedkering Hollandse IJssel, alsoKnownAs, Algerakering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Algerakering
Context triple: [Stormvloedkering Hollandse IJssel, alsoKnownAs, Algerakering]
  • A. Algerasluis chosen
    Algerasluis is a lock complex in the Netherlands that regulates water levels and shipping traffic on the Hollandsche IJssel near Rotterdam.
  • B. Azraq
    Azraq is a town and oasis in eastern Jordan that serves as a strategic military and air force hub as well as a gateway to nearby desert and nature reserves.
  • C. Alkett
    Alkett was a German World War II–era armaments manufacturer best known for producing assault guns and other armored fighting vehicles for the Wehrmacht.
  • D. Birgi
    Birgi is a small village in western Sicily, Italy, known for its proximity to Trapani–Birgi Airport and the coastal city of Trapani.
  • E. Konjara
    Konjara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
  • 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_69bd43f07fa48190954317d01600994a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64e72d1c81908eb60960751e52b1 completed March 20, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a6600e481909c3fb1decf23d7d8 completed March 21, 2026, 6:27 a.m.
Created at: March 20, 2026, 1:20 p.m.