Triple

T15567582
Position Surface form Disambiguated ID Type / Status
Subject Ourém E374155 entity
Predicate contains P35 FINISHED
Object Matas
Matas is a locality within the municipality of Ourém in central Portugal.
 E1165492 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: Matas | Statement: [Ourém, contains, Matas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matas
Context triple: [Ourém, contains, Matas]
  • A. Balvi
    Balvi is a small town in eastern Latvia that serves as an important local administrative, cultural, and economic center in the Latgale region.
  • B. Maty
    Maty is a given name and surname used in various cultures, often as a variant spelling of Matty.
  • C. Marčiulionis
    Marčiulionis is a Lithuanian surname most famously associated with Šarūnas Marčiulionis, a pioneering European guard in the NBA and a key figure in Lithuanian basketball history.
  • D. Visaginas
    Visaginas is a town in northeastern Lithuania known for its Soviet-era origins and proximity to the now-decommissioned Ignalina Nuclear Power Plant.
  • E. Ragis
    Ragis are devotional Sikh musicians who sing and play Gurbani Kirtan, typically in gurdwaras and at religious gatherings.
  • 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: Matas
Triple: [Ourém, contains, Matas]
Generated description
Matas is a locality within the municipality of Ourém in central Portugal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matas
Target entity description: Matas is a locality within the municipality of Ourém in central Portugal.
  • A. Balvi
    Balvi is a small town in eastern Latvia that serves as an important local administrative, cultural, and economic center in the Latgale region.
  • B. Maty
    Maty is a given name and surname used in various cultures, often as a variant spelling of Matty.
  • C. Marčiulionis
    Marčiulionis is a Lithuanian surname most famously associated with Šarūnas Marčiulionis, a pioneering European guard in the NBA and a key figure in Lithuanian basketball history.
  • D. Visaginas
    Visaginas is a town in northeastern Lithuania known for its Soviet-era origins and proximity to the now-decommissioned Ignalina Nuclear Power Plant.
  • E. Ragis
    Ragis are devotional Sikh musicians who sing and play Gurbani Kirtan, typically in gurdwaras and at religious gatherings.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04dde90b081908284d9258d4462e3 completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4219a081909acca9f783ecd44b completed May 9, 2026, 3:01 p.m.
NEDg Description generation batch_69ff50d54960819089491ccb580784b8 completed May 9, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69ff5208e9a08190b4a6f4157cf3c237 completed May 9, 2026, 3:26 p.m.
Created at: April 10, 2026, 4:10 a.m.