Triple

T21371399
Position Surface form Disambiguated ID Type / Status
Subject Seixal E527072 entity
Predicate hasCity P316 FINISHED
Object Amora
Amora is a civil parish and suburban town in the municipality of Seixal, within Portugal’s Lisbon metropolitan area.
 E1480819 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: Amora | Statement: [Seixal, hasCity, Amora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Amora
Context triple: [Seixal, hasCity, Amora]
  • A. Amora
    An Amora was a Jewish Talmudic sage of the post-Mishnaic era, known for interpreting and elaborating on the Mishnah in the Gemara.
  • B. Arella
    Arella is a character in DC Comics, best known as the human mother of the Teen Titans member Raven and a former acolyte of the interdimensional demon Trigon.
  • C. Amorina
    Amorina is a 19th-century Swedish novel by Carl Jonas Love Almqvist, known for its romantic and psychological depth within early modern Swedish literature.
  • D. Marisus
    Marisus is the historical Latin name for the Mureș River, a major waterway flowing through present-day Romania and Hungary.
  • E. Ortanella
    Ortanella is a small hamlet in the municipality of Esino Lario in the Lombardy region of northern Italy.
  • 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: Amora
Triple: [Seixal, hasCity, Amora]
Generated description
Amora is a civil parish and suburban town in the municipality of Seixal, within Portugal’s Lisbon metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Amora
Target entity description: Amora is a civil parish and suburban town in the municipality of Seixal, within Portugal’s Lisbon metropolitan area.
  • A. Amora
    An Amora was a Jewish Talmudic sage of the post-Mishnaic era, known for interpreting and elaborating on the Mishnah in the Gemara.
  • B. Arella
    Arella is a character in DC Comics, best known as the human mother of the Teen Titans member Raven and a former acolyte of the interdimensional demon Trigon.
  • C. Amorina
    Amorina is a 19th-century Swedish novel by Carl Jonas Love Almqvist, known for its romantic and psychological depth within early modern Swedish literature.
  • D. Marisus
    Marisus is the historical Latin name for the Mureș River, a major waterway flowing through present-day Romania and Hungary.
  • E. Ortanella
    Ortanella is a small hamlet in the municipality of Esino Lario in the Lombardy region of northern Italy.
  • 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_69e0b51e80808190ba5cb05667af02a9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0af44d88190aedd3b2127bb297d completed April 22, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09b41c930c8190ac11bdfabadbc237 completed May 17, 2026, 12:27 p.m.
NEDg Description generation batch_6a09b4da24948190ad67a98bd1ede5dd completed May 17, 2026, 12:30 p.m.
NED2 Entity disambiguation (via description) batch_6a09b5daceac81909ecfa50967c77f58 completed May 17, 2026, 12:34 p.m.
Created at: April 16, 2026, 5:10 p.m.