Triple

T6206686
Position Surface form Disambiguated ID Type / Status
Subject Montpellier Méditerranée Métropole E138764 entity
Predicate hasTransportBrand P40804 FINISHED
Object TaM
TaM is the public transport network and brand serving the Montpellier metropolitan area in southern France.
 E576706 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: TaM | Statement: [Montpellier Méditerranée Métropole, hasTransportBrand, TaM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TaM
Context triple: [Montpellier Méditerranée Métropole, hasTransportBrand, TaM]
  • A. TAM
    TAM is the standard abbreviation used for the Tampa Tarpons, a Minor League Baseball team based in Tampa, Florida.
  • B. Tam
    Tam is a key crew member and engineer aboard the space station in the science fiction horror film "The Cloverfield Paradox."
  • C. TAMUT
    TAMUT is a regional public university in Texarkana, Texas, offering undergraduate and graduate programs as part of the Texas A&M University System.
  • D. Ta-Mehu
    Ta-Mehu is the ancient Egyptian name for Lower Egypt, the northern region of the Nile Valley encompassing the Nile Delta.
  • E. tamga
    A tamga is a traditional emblem or brand-like symbol historically used by Turkic and Mongolic peoples, often serving as a clan, tribal, or family mark.
  • 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: TaM
Triple: [Montpellier Méditerranée Métropole, hasTransportBrand, TaM]
Generated description
TaM is the public transport network and brand serving the Montpellier metropolitan area in southern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TaM
Target entity description: TaM is the public transport network and brand serving the Montpellier metropolitan area in southern France.
  • A. TAM
    TAM is the standard abbreviation used for the Tampa Tarpons, a Minor League Baseball team based in Tampa, Florida.
  • B. Tam
    Tam is a key crew member and engineer aboard the space station in the science fiction horror film "The Cloverfield Paradox."
  • C. TAMUT
    TAMUT is a regional public university in Texarkana, Texas, offering undergraduate and graduate programs as part of the Texas A&M University System.
  • D. Ta-Mehu
    Ta-Mehu is the ancient Egyptian name for Lower Egypt, the northern region of the Nile Valley encompassing the Nile Delta.
  • E. tamga
    A tamga is a traditional emblem or brand-like symbol historically used by Turkic and Mongolic peoples, often serving as a clan, tribal, or family mark.
  • 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_69c008acbea48190991c6b834bb45d65 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06270b8d08190a81bc03c8175b989 completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f4ce8888190b5cc4f1b091e88f3 completed March 23, 2026, 4:50 p.m.
NEDg Description generation batch_69c1e69150ac81909f7247ba3dd1e373 completed March 24, 2026, 1:19 a.m.
NED2 Entity disambiguation (via description) batch_69c1e71bd420819082d802f810baa61e completed March 24, 2026, 1:21 a.m.
Created at: March 22, 2026, 4:20 p.m.