Triple

T5899104
Position Surface form Disambiguated ID Type / Status
Subject Höchst E131174 entity
Predicate adjacentTo P224 FINISHED
Object Sindlingen
Sindlingen is a district in the western part of Frankfurt am Main, Germany, known for its residential character and proximity to industrial areas along the Main River.
 E565292 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: Sindlingen | Statement: [Höchst, adjacentTo, Sindlingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sindlingen
Context triple: [Höchst, adjacentTo, Sindlingen]
  • A. Weidach
    Weidach is a locality or district that forms part of the municipality of Blaustein in the state of Baden-Württemberg, Germany.
  • B. Wiesener
    Wiesener is a surname, likely of German origin, that serves as a variant spelling of the name Wiesner.
  • C. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • D. Sihltal
    Sihltal is a Swiss valley in the canton of Zurich shaped by the Sihl River, known for its scenic landscapes and proximity to the city of Zurich.
  • E. Hinterautal
    Hinterautal is a scenic alpine valley in the Karwendel mountain range, known for its rugged landscapes and outdoor recreation opportunities.
  • 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: Sindlingen
Triple: [Höchst, adjacentTo, Sindlingen]
Generated description
Sindlingen is a district in the western part of Frankfurt am Main, Germany, known for its residential character and proximity to industrial areas along the Main River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sindlingen
Target entity description: Sindlingen is a district in the western part of Frankfurt am Main, Germany, known for its residential character and proximity to industrial areas along the Main River.
  • A. Weidach
    Weidach is a locality or district that forms part of the municipality of Blaustein in the state of Baden-Württemberg, Germany.
  • B. Wiesener
    Wiesener is a surname, likely of German origin, that serves as a variant spelling of the name Wiesner.
  • C. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • D. Sihltal
    Sihltal is a Swiss valley in the canton of Zurich shaped by the Sihl River, known for its scenic landscapes and proximity to the city of Zurich.
  • E. Hinterautal
    Hinterautal is a scenic alpine valley in the Karwendel mountain range, known for its rugged landscapes and outdoor recreation opportunities.
  • 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_69c00857439c819095950754176aa58a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036f7b3f48190a499d43f8ffb2fa7 completed March 22, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1134e27388190ad90faed28d2d360 completed March 23, 2026, 10:17 a.m.
NEDg Description generation batch_69c1176428608190bf996b629e24a0cb completed March 23, 2026, 10:35 a.m.
NED2 Entity disambiguation (via description) batch_69c117f9d3848190a99cf0efc5d09114 completed March 23, 2026, 10:37 a.m.
Created at: March 22, 2026, 3:58 p.m.