Triple

T31130615
Position Surface form Disambiguated ID Type / Status
Subject Tammaro River valley E793492 entity
Predicate shapedBy P2454 FINISHED
Object Tammaro River
The Tammaro River is a watercourse in southern Italy that flows through the Apennine landscape, supporting local ecosystems and agriculture in its valley.
 E2294819 NE FINISHED

How this triple was built (2 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: Tammaro River | Statement: [Tammaro River valley, shapedBy, Tammaro River]
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: Tammaro River
Triple: [Tammaro River valley, shapedBy, Tammaro River]
Generated description
The Tammaro River is a watercourse in southern Italy that flows through the Apennine landscape, supporting local ecosystems and agriculture in its valley.

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_69f224d1701c819094f429798290e361 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6973f7d948190a1e2ff726d61ebb1 completed May 3, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a7c217078b48190a9f30fd3ace2b6b4 completed Aug. 12, 2026, 7:32 a.m.
NEDg Description generation batch_6a7c21b59b988190a731dfae135e7264 completed Aug. 12, 2026, 7:33 a.m.
NED2 Entity disambiguation (via description) batch_6a7c2226566c81908dd9098338f8f1b9 completed Aug. 12, 2026, 7:35 a.m.
Created at: April 29, 2026, 9:05 p.m.