Triple

T12765675
Position Surface form Disambiguated ID Type / Status
Subject Montpellier tramway E305115 entity
Predicate line1Terminus P3569 FINISHED
Object Mosson
Mosson is a major tram terminus and transport hub serving the western outskirts of Montpellier, France.
 E1001904 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: Mosson | Statement: [Montpellier tramway, line1Terminus, Mosson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mosson
Context triple: [Montpellier tramway, line1Terminus, Mosson]
  • A. Moissat
    Moissat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
  • B. Murroes
    Murroes is a small rural village in eastern Scotland, situated within the historic county of Angus near the city of Dundee.
  • C. Mutso
    Mutso is a remote medieval mountain village and fortress complex in northeastern Georgia, renowned for its dramatic clifftop location and stone defensive towers.
  • D. Mongibello
    Mongibello is a traditional name used in Italian and Sicilian contexts to refer to Mount Etna, the large active volcano on the east coast of Sicily.
  • E. Masmo
    Masmo is a residential district in the southern suburbs of Stockholm, Sweden, known for its metro station on the red line and proximity to green areas and Lake Mälaren.
  • 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: Mosson
Triple: [Montpellier tramway, line1Terminus, Mosson]
Generated description
Mosson is a major tram terminus and transport hub serving the western outskirts of Montpellier, France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mosson
Target entity description: Mosson is a major tram terminus and transport hub serving the western outskirts of Montpellier, France.
  • A. Moissat
    Moissat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
  • B. Murroes
    Murroes is a small rural village in eastern Scotland, situated within the historic county of Angus near the city of Dundee.
  • C. Mutso
    Mutso is a remote medieval mountain village and fortress complex in northeastern Georgia, renowned for its dramatic clifftop location and stone defensive towers.
  • D. Mongibello
    Mongibello is a traditional name used in Italian and Sicilian contexts to refer to Mount Etna, the large active volcano on the east coast of Sicily.
  • E. Masmo
    Masmo is a residential district in the southern suburbs of Stockholm, Sweden, known for its metro station on the red line and proximity to green areas and Lake Mälaren.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df1ef148190af525532fcb0933b completed April 10, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684f4e1508190a6f023f1d1dc192e completed May 2, 2026, 11:12 p.m.
NEDg Description generation batch_69f6863fada48190afe2ff7896a60094 completed May 2, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69f686bcac94819088782273effbb06a completed May 2, 2026, 11:20 p.m.
Created at: April 9, 2026, 5:28 p.m.