Triple

T11133328
Position Surface form Disambiguated ID Type / Status
Subject Unstrut E263342 entity
Predicate hasValley P650 FINISHED
Object Unstruttal
Unstruttal is the valley region formed by and surrounding the Unstrut River in central Germany.
 E907878 NE FINISHED

How this triple was built (4 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: Unstruttal | Statement: [Unstrut, hasValley, Unstruttal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Unstruttal
Context triple: [Unstrut, hasValley, Unstruttal]
  • A. Ungrund
    Ungrund is a mystical philosophical concept, especially in Jakob Böhme’s thought, denoting the ineffable, groundless abyss or pre-ontological nothingness from which God and all existence emerge.
  • B. UNON
    UNON is the United Nations Office at Nairobi, a major UN headquarters in Africa that hosts and supports numerous UN agencies and programs.
  • C. Unalachtigo
    Unalachtigo is a historical dialect of the Unami branch of the Lenape (Delaware) language traditionally spoken by a subgroup of Lenape people in the mid-Atlantic region of North America.
  • D. Nonso
    Nonso is a masculine given name of Igbo origin, commonly used in Nigeria and among the Igbo diaspora.
  • E. Nonestica
    Nonestica is the broader fairyland continent in L. Frank Baum’s Oz universe, encompassing the Land of Oz and several surrounding magical countries.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Unstruttal
Triple: [Unstrut, hasValley, Unstruttal]
Generated description
Unstruttal is the valley region formed by and surrounding the Unstrut River in central Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Unstruttal
Target entity description: Unstruttal is the valley region formed by and surrounding the Unstrut River in central Germany.
  • A. Ungrund
    Ungrund is a mystical philosophical concept, especially in Jakob Böhme’s thought, denoting the ineffable, groundless abyss or pre-ontological nothingness from which God and all existence emerge.
  • B. UNON
    UNON is the United Nations Office at Nairobi, a major UN headquarters in Africa that hosts and supports numerous UN agencies and programs.
  • C. Unalachtigo
    Unalachtigo is a historical dialect of the Unami branch of the Lenape (Delaware) language traditionally spoken by a subgroup of Lenape people in the mid-Atlantic region of North America.
  • D. Nonso
    Nonso is a masculine given name of Igbo origin, commonly used in Nigeria and among the Igbo diaspora.
  • E. Nonestica
    Nonestica is the broader fairyland continent in L. Frank Baum’s Oz universe, encompassing the Land of Oz and several surrounding magical countries.
  • F. None of above. chosen

Provenance (5 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8347a248190837e8c26f25f553a completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441f00d7c8190a8fe8e0c1169e6b0 completed April 19, 2026, 2:46 a.m.
NEDg Description generation batch_69e44c09163481909d6a469b1e50b6ff completed April 19, 2026, 3:29 a.m.
NED2 Entity disambiguation (via description) batch_69e4519f4d408190be9863c72006ecad completed April 19, 2026, 3:53 a.m.
Created at: April 8, 2026, 9:28 p.m.