Triple

T14868116
Position Surface form Disambiguated ID Type / Status
Subject Limmattal E349669 entity
Predicate containsSettlement P847 FINISHED
Object Unterengstringen E317798 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: Unterengstringen | Statement: [Limmattal, containsSettlement, Unterengstringen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unterengstringen
Context triple: [Limmattal, containsSettlement, Unterengstringen]
  • A. Unterengstringen chosen
    Unterengstringen is a small municipality in the canton of Zurich in northern Switzerland, situated along the Limmat River near the city of Zurich.
  • B. Untergöhren
    Untergöhren is a small settlement in the Mecklenburg Lake District of northeastern Germany, situated near Lake Fleesensee and known for its tranquil, lakeside rural setting.
  • C. Untermetten
    Untermetten is a locality or district that forms part of the municipality of Metten in Bavaria, Germany.
  • D. Dettenschwang
    Dettenschwang is a village and district of the market town Dießen am Ammersee in the Bavarian region of Germany.
  • E. الخيط الرفيع
    الخيط الرفيع هو فيلم دراما مصري شهير من أوائل السبعينيات تدور أحداثه حول صراع الطبقات والعواطف، وتُعد بطولته من أبرز محطات مسيرة فاتن حمامة السينمائية.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5776b848190bfe3a06ff261dc31 completed April 15, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe651067cc8190b9c218ef1f802762 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:55 a.m.