Triple

T4883326
Position Surface form Disambiguated ID Type / Status
Subject Chiado E109380 entity
Predicate adjacentTo P224 FINISHED
Object Carmo
Carmo is a historic area in central Lisbon, Portugal, known for its convent ruins, museum, and proximity to the Chiado district.
 E477583 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: Carmo | Statement: [Chiado, adjacentTo, Carmo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Carmo
Context triple: [Chiado, adjacentTo, Carmo]
  • A. Santa Bárbara d'Oeste
    Santa Bárbara d'Oeste is a municipality in the interior of Brazil’s state of São Paulo, known for its industrial activity and historical role in receiving North American Confederate immigrants in the 19th century.
  • B. Bela Vista
    Bela Vista is a settlement located on the island and municipality of São Vicente in Cape Verde.
  • C. Surco
    Surco is a populous and upscale district in Lima, Peru, known for its residential areas, shopping centers, and green spaces.
  • D. Carmel
    Carmel is a biblical place name of Hebrew origin, commonly used as a given name and meaning "vineyard" or "garden."
  • E. Santa Mesa
    Santa Mesa is a historic district in Manila, Philippines, known for its role as a key battleground during the early stages of the Philippine–American War.
  • 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: Carmo
Triple: [Chiado, adjacentTo, Carmo]
Generated description
Carmo is a historic area in central Lisbon, Portugal, known for its convent ruins, museum, and proximity to the Chiado district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Carmo
Target entity description: Carmo is a historic area in central Lisbon, Portugal, known for its convent ruins, museum, and proximity to the Chiado district.
  • A. Santa Bárbara d'Oeste
    Santa Bárbara d'Oeste is a municipality in the interior of Brazil’s state of São Paulo, known for its industrial activity and historical role in receiving North American Confederate immigrants in the 19th century.
  • B. Bela Vista
    Bela Vista is a settlement located on the island and municipality of São Vicente in Cape Verde.
  • C. Surco
    Surco is a populous and upscale district in Lima, Peru, known for its residential areas, shopping centers, and green spaces.
  • D. Carmel
    Carmel is a biblical place name of Hebrew origin, commonly used as a given name and meaning "vineyard" or "garden."
  • E. Santa Mesa
    Santa Mesa is a historic district in Manila, Philippines, known for its role as a key battleground during the early stages of the Philippine–American War.
  • 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ddfff0c81908fb148a6f6508334 completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be680bf12c8190a5da2c7f0088cec2 completed March 21, 2026, 9:42 a.m.
NEDg Description generation batch_69be6c25d3448190b2589959a2f221c8 completed March 21, 2026, 10 a.m.
NED2 Entity disambiguation (via description) batch_69be6cf6662c8190bc1b94766c5da1e9 completed March 21, 2026, 10:03 a.m.
Created at: March 20, 2026, 1:27 p.m.