Triple

T17431595
Position Surface form Disambiguated ID Type / Status
Subject Martis E423883 entity
Predicate hasDemonym P191 FINISHED
Object Martese
Martese are the inhabitants or natives of Martis, a locality in Sardinia, Italy.
 E1268836 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: Martese | Statement: [Martis, hasDemonym, Martese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Martese
Context triple: [Martis, hasDemonym, Martese]
  • A. Mesoraca
    Mesoraca is a town in the Calabria region of southern Italy, historically notable as the birthplace of Pope Zosimus.
  • B. Mora
    Mora is a municipality in Portugal known for its rural Alentejo landscapes, traditional villages, and proximity to the Montargil reservoir.
  • C. Mora
    Mora is a town in central Sweden’s Dalarna region, known for its traditional Swedish culture, proximity to Lake Siljan, and as the finish line of the Vasaloppet cross-country ski race.
  • D. Mora
    Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
  • E. Mora
    Mora is a canton in Costa Rica’s San José Province known for its rural landscapes, agricultural activities, and small-town communities.
  • 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: Martese
Triple: [Martis, hasDemonym, Martese]
Generated description
Martese are the inhabitants or natives of Martis, a locality in Sardinia, Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Martese
Target entity description: Martese are the inhabitants or natives of Martis, a locality in Sardinia, Italy.
  • A. Mesoraca
    Mesoraca is a town in the Calabria region of southern Italy, historically notable as the birthplace of Pope Zosimus.
  • B. Mora
    Mora is a town in central Sweden’s Dalarna region, known for its traditional Swedish culture, proximity to Lake Siljan, and as the finish line of the Vasaloppet cross-country ski race.
  • C. Mora
    Mora is a municipality in Portugal known for its rural Alentejo landscapes, traditional villages, and proximity to the Montargil reservoir.
  • D. Mora
    Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
  • E. Mora
    Mora is a canton in Costa Rica’s San José Province known for its rural landscapes, agricultural activities, and small-town communities.
  • 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4490072b48190a39b1ac7bb5eb035 completed April 19, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01afed3cb0819081fac1f1e59434f4 completed May 11, 2026, 10:31 a.m.
NEDg Description generation batch_6a01b0b04bf48190813232c7be3d37e7 completed May 11, 2026, 10:34 a.m.
NED2 Entity disambiguation (via description) batch_6a01b1581cfc81908d724a8b324e698e completed May 11, 2026, 10:37 a.m.
Created at: April 10, 2026, 5:46 a.m.