Triple

T14569014
Position Surface form Disambiguated ID Type / Status
Subject LZ 1 E341862 entity
Predicate firstFlightLocation P14378 FINISHED
Object Lake Constance E176598 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: Lake Constance | Statement: [LZ 1, firstFlightLocation, Lake Constance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Constance
Context triple: [LZ 1, firstFlightLocation, Lake Constance]
  • A. Lake Constance chosen
    Lake Constance is a large freshwater lake on the Rhine at the northern foot of the Alps, bordering Germany, Austria, and Switzerland and serving as a major regional hub for tourism, transport, and natural conservation.
  • B. Schönenbodensee
    Schönenbodensee is a small scenic mountain lake located near the village of Wildhaus in the Toggenburg region of the Swiss canton of St. Gallen.
  • C. Tüttensee
    Tüttensee is a small lake in the Chiemgau region of Bavaria, Germany, known for its scenic setting and local recreational use.
  • D. Königssee
    Königssee is a picturesque alpine lake in southeastern Germany, renowned for its emerald-green waters, steep surrounding mountains, and status as one of the cleanest lakes in the country.
  • E. Jungfernsee
    Jungfernsee is a scenic lake on the outskirts of Potsdam and Berlin, known for its historic villas, palaces, and location along the former inner German 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb38d89fc819086709fd3607b835f completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cd3aa20819089c8527faf1ceddd completed May 8, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:23 a.m.