Triple

T15003424
Position Surface form Disambiguated ID Type / Status
Subject Pombal E374146 entity
Predicate hasPart P35 FINISHED
Object Mata Mourisca
Mata Mourisca is a civil parish in the municipality of Pombal, in Portugal’s Leiria District.
 E1131995 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: Mata Mourisca | Statement: [Pombal, hasPart, Mata Mourisca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mata Mourisca
Context triple: [Pombal, hasPart, Mata Mourisca]
  • A. Mascarille
    Mascarille is a comic valet character in Molière’s play *Les Précieuses ridicules*, known for his affected manners and satirical portrayal of social pretension.
  • B. Mestra
    Mestra is a figure in Greek mythology, daughter of King Erysichthon, known for being granted the power of shape-shifting by Poseidon.
  • C. Macaria
    Macaria is a figure in Greek mythology known as a daughter of Heracles, associated with themes of sacrifice and deliverance.
  • D. Barbareta
    Barbareta is a small, privately owned Caribbean island located in Honduras’s Bay Islands archipelago, known for its natural beauty and relative seclusion.
  • E. Marisus
    Marisus is the historical Latin name for the Mureș River, a major waterway flowing through present-day Romania and Hungary.
  • 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: Mata Mourisca
Triple: [Pombal, hasPart, Mata Mourisca]
Generated description
Mata Mourisca is a civil parish in the municipality of Pombal, in Portugal’s Leiria District.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mata Mourisca
Target entity description: Mata Mourisca is a civil parish in the municipality of Pombal, in Portugal’s Leiria District.
  • A. Mascarille
    Mascarille is a comic valet character in Molière’s play *Les Précieuses ridicules*, known for his affected manners and satirical portrayal of social pretension.
  • B. Mestra
    Mestra is a figure in Greek mythology, daughter of King Erysichthon, known for being granted the power of shape-shifting by Poseidon.
  • C. Macaria
    Macaria is a figure in Greek mythology known as a daughter of Heracles, associated with themes of sacrifice and deliverance.
  • D. Barbareta
    Barbareta is a small, privately owned Caribbean island located in Honduras’s Bay Islands archipelago, known for its natural beauty and relative seclusion.
  • E. Marisus
    Marisus is the historical Latin name for the Mureș River, a major waterway flowing through present-day Romania and Hungary.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7312ae48190bdaf91ecced6657e completed April 15, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe96a04eec8190b347bf3637aba0bc completed May 9, 2026, 2:06 a.m.
NEDg Description generation batch_69fe98e182708190a013511c32d33315 completed May 9, 2026, 2:16 a.m.
NED2 Entity disambiguation (via description) batch_69fe9a48e85081909d70d8f44e3a54d7 completed May 9, 2026, 2:22 a.m.
Created at: April 10, 2026, 2:54 a.m.