Triple

T7786159
Position Surface form Disambiguated ID Type / Status
Subject Breithorn E187248 entity
Predicate hasSubpeak P7612 FINISHED
Object Gendarm
Gendarm is a minor subpeak on the Breithorn massif in the Pennine Alps, known primarily to mountaineers and climbers traversing the ridge.
 E692767 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: Gendarm | Statement: [Breithorn, hasSubpeak, Gendarm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gendarm
Context triple: [Breithorn, hasSubpeak, Gendarm]
  • A. Armilla
    Armilla is a municipality in the province of Granada, Spain, that hosts one of the campuses of the University of Granada.
  • B. Galich
    Galich is a historic Russian town in Kostroma Oblast known for its medieval origins and its location on the shores of Lake Galichskoye.
  • C. Guardea
    Guardea is a small Italian town and comune in the Umbria region, known for its medieval historic center and scenic position overlooking the Tiber Valley.
  • D. Catroux
    Catroux is a French surname most notably borne by Georges Catroux, a prominent French general and diplomat of the 20th century.
  • E. Gunter
    Gunter is a flamboyant, energetic pig who serves as one of the standout comedic performers in the animated musical film "Sing 2."
  • 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: Gendarm
Triple: [Breithorn, hasSubpeak, Gendarm]
Generated description
Gendarm is a minor subpeak on the Breithorn massif in the Pennine Alps, known primarily to mountaineers and climbers traversing the ridge.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gendarm
Target entity description: Gendarm is a minor subpeak on the Breithorn massif in the Pennine Alps, known primarily to mountaineers and climbers traversing the ridge.
  • A. Armilla
    Armilla is a municipality in the province of Granada, Spain, that hosts one of the campuses of the University of Granada.
  • B. Galich
    Galich is a historic Russian town in Kostroma Oblast known for its medieval origins and its location on the shores of Lake Galichskoye.
  • C. Guardea
    Guardea is a small Italian town and comune in the Umbria region, known for its medieval historic center and scenic position overlooking the Tiber Valley.
  • D. Catroux
    Catroux is a French surname most notably borne by Georges Catroux, a prominent French general and diplomat of the 20th century.
  • E. Gunter
    Gunter is a flamboyant, energetic pig who serves as one of the standout comedic performers in the animated musical film "Sing 2."
  • 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_69ca82af2d2c8190963861f5e0b8bf21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cadf2462248190863f838f0e077923 completed March 30, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf604715081909eed614cbadb8db6 completed March 30, 2026, 10:15 p.m.
NEDg Description generation batch_69caf81ff934819094f8089b0bd8dde7 completed March 30, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_69cafa512e748190a52fe462d3d59f06 completed March 30, 2026, 10:33 p.m.
Created at: March 30, 2026, 4:23 p.m.