Triple

T13553613
Position Surface form Disambiguated ID Type / Status
Subject Concesio E323711 entity
Predicate locatedAlong P2409 FINISHED
Object Mella river
The Mella river is a watercourse in northern Italy that flows through the province of Brescia in Lombardy.
 E1323679 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: Mella river | Statement: [Concesio, locatedAlong, Mella river]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mella river
Context triple: [Concesio, locatedAlong, Mella river]
  • A. Mēmele River
    The Mēmele River is a tributary in the Baltic region that joins with another watercourse to form Latvia’s Lielupe River.
  • B. Suramula River
    The Suramula River is a watercourse in central Georgia that flows through Khashuri Municipality, contributing to the region’s local hydrology and landscape.
  • C. Muya River
    The Muya River is a tributary watercourse in eastern Siberia, Russia, that feeds into the larger Vitim River system.
  • D. Moesa River
    The Moesa River is a mountain river in southeastern Switzerland that flows through the canton of Graubünden and the Mesolcina valley before joining the Ticino River.
  • E. Tala River
    The Tala River is a watercourse in the Zaqatala region of northwestern Azerbaijan, contributing to the area's local hydrology and landscape.
  • 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: Mella river
Triple: [Concesio, locatedAlong, Mella river]
Generated description
The Mella river is a watercourse in northern Italy that flows through the province of Brescia in Lombardy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mella river
Target entity description: The Mella river is a watercourse in northern Italy that flows through the province of Brescia in Lombardy.
  • A. Mēmele River
    The Mēmele River is a tributary in the Baltic region that joins with another watercourse to form Latvia’s Lielupe River.
  • B. Suramula River
    The Suramula River is a watercourse in central Georgia that flows through Khashuri Municipality, contributing to the region’s local hydrology and landscape.
  • C. Muya River
    The Muya River is a tributary watercourse in eastern Siberia, Russia, that feeds into the larger Vitim River system.
  • D. Moesa River
    The Moesa River is a mountain river in southeastern Switzerland that flows through the canton of Graubünden and the Mesolcina valley before joining the Ticino River.
  • E. Tala River
    The Tala River is a watercourse in the Zaqatala region of northwestern Azerbaijan, contributing to the area's local hydrology and landscape.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaff1c1f0819084352d9b2ee13d7a completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03f08ba3308190bf0c338969717e28 completed May 13, 2026, 3:31 a.m.
NEDg Description generation batch_6a03f1f144988190b2201c0f7c2464de completed May 13, 2026, 3:37 a.m.
NED2 Entity disambiguation (via description) batch_6a03f356e48c81908d74414b736303a4 completed May 13, 2026, 3:43 a.m.
Created at: April 9, 2026, 9:46 p.m.