Triple

T22218030
Position Surface form Disambiguated ID Type / Status
Subject Marvão E549127 entity
Predicate UNLOCODE P1800 FINISHED
Object PTMVA
PTMVA is the UN/LOCODE identifier for the Portuguese locality of Marvão, used in international trade and transport logistics.
E1525494 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: PTMVA | Statement: [Marvão, UNLOCODE, PTMVA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PTMVA
Context triple: [Marvão, UNLOCODE, PTMVA]
  • A. PTM
    PTM is a subsidiary company within the FEMSA corporate group, operating as part of its diversified business portfolio in Latin America.
  • B. MVA
    MVA is the state agency in Maryland responsible for driver licensing, vehicle registration, and related motor vehicle services.
  • C. MVA
    MVA is a political alliance in the Indian state of Maharashtra formed primarily by the Shiv Sena (UBT), Nationalist Congress Party, and Indian National Congress to oppose the Bharatiya Janata Party.
  • D. MTM
    MTM is the company responsible for operating Melbourne’s metropolitan passenger rail network in Victoria, Australia.
  • E. MTM
    MTM is a music-focused project or group associated with the artist Mio, likely involved in collaborative releases or performances.
  • 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: PTMVA
Triple: [Marvão, UNLOCODE, PTMVA]
Generated description
PTMVA is the UN/LOCODE identifier for the Portuguese locality of Marvão, used in international trade and transport logistics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PTMVA
Target entity description: PTMVA is the UN/LOCODE identifier for the Portuguese locality of Marvão, used in international trade and transport logistics.
  • A. PTM
    PTM is a subsidiary company within the FEMSA corporate group, operating as part of its diversified business portfolio in Latin America.
  • B. MVA
    MVA is the state agency in Maryland responsible for driver licensing, vehicle registration, and related motor vehicle services.
  • C. MVA
    MVA is a political alliance in the Indian state of Maharashtra formed primarily by the Shiv Sena (UBT), Nationalist Congress Party, and Indian National Congress to oppose the Bharatiya Janata Party.
  • D. MTM
    MTM is a music-focused project or group associated with the artist Mio, likely involved in collaborative releases or performances.
  • E. MTM
    MTM is the company responsible for operating Melbourne’s metropolitan passenger rail network in Victoria, Australia.
  • 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_69e11e403d6481909a94d0aaf157f6ef completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b8ddb448190a45f0418d813afd0 completed April 28, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0aae6b0cf88190a6d4dee77804e47c completed May 18, 2026, 6:15 a.m.
NEDg Description generation batch_6a0aaefd48d48190a87ccf0417d1b991 completed May 18, 2026, 6:17 a.m.
NED2 Entity disambiguation (via description) batch_6a0aafcd0e148190a5bf048d28fdbddc completed May 18, 2026, 6:21 a.m.
Created at: April 16, 2026, 8:37 p.m.