Triple

T8554656
Position Surface form Disambiguated ID Type / Status
Subject Netphen E202534 entity
Predicate hasRiverSourceNearby P8567 FINISHED
Object Sieg E77328 NE FINISHED

How this triple was built (3 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: Sieg | Statement: [Netphen, hasRiverSourceNearby, Sieg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sieg
Context triple: [Netphen, hasRiverSourceNearby, Sieg]
  • A. Sieg chosen
    The Sieg is a river in western Germany that flows through North Rhine-Westphalia and Rhineland-Palatinate before joining the Rhine.
  • B. Siegl
    Siegl is the surname of Zev Siegl, an American entrepreneur best known as one of the co-founders of Starbucks.
  • C. Reinhard
    Reinhard is a masculine German given name historically borne by several notable figures, including high-ranking officials in Nazi Germany.
  • D. Heinrici
    Heinrici is a German surname most notably associated with Gotthard Heinrici, a senior Wehrmacht general during World War II.
  • E. Helmuth
    Helmuth is a masculine given name of German origin, historically borne by several notable military and political figures.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRiverSourceNearby
Context triple: [Netphen, hasRiverSourceNearby, Sieg]
  • A. hasRiver
    Indicates that a location or area contains, is traversed by, or is directly associated with a river.
  • B. nearbyWatercourse chosen
    Indicates that one entity is located close to or alongside a natural or artificial watercourse, such as a river, stream, or canal.
  • C. hasNearbyWater
    Indicates that one entity is located close to a body of water associated with or relevant to another entity.
  • D. majorRiverSource
    Indicates that one entity is the primary originating source or headwaters location of a major river.
  • E. hasBodyOfWaterDrainedBy
    Indicates that a body of water is emptied or its water flow is carried away by a specified draining feature, such as a river, channel, or drainage system.
  • F. None of above.

Provenance (4 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_69ca832610e08190b3b6c6cd2c250255 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe88a936c8190a0234bf7da2ff55a completed March 31, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce892efdf8819093c966bd8f6c8065 completed April 2, 2026, 3:20 p.m.
PD Predicate disambiguation batch_69cbd1160fcc8190aa380a73610af731 completed March 31, 2026, 1:50 p.m.
Created at: March 30, 2026, 6:19 p.m.