Triple

T30850826
Position Surface form Disambiguated ID Type / Status
Subject Seravezza E785774 entity
Predicate locatedOnRiver P165 FINISHED
Object River Versilia
River Versilia is a small river in northern Tuscany, Italy, that flows through the Versilia area near the Apuan Alps before reaching the Tyrrhenian Sea.
 E1950607 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: River Versilia | Statement: [Seravezza, locatedOnRiver, River Versilia]
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: River Versilia
Triple: [Seravezza, locatedOnRiver, River Versilia]
Generated description
River Versilia is a small river in northern Tuscany, Italy, that flows through the Versilia area near the Apuan Alps before reaching the Tyrrhenian Sea.

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_69f224b850848190a4af4ccf8ddadcdf completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6917c8d8c8190b4091f3ef57834bb completed May 3, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2958f3302c81909e72dc4273c36e1a completed June 10, 2026, 12:30 p.m.
NEDg Description generation batch_6a295a50b4d481908c9ab1df858af328 completed June 10, 2026, 12:36 p.m.
NED2 Entity disambiguation (via description) batch_6a295aefacc48190aeaf69fd08e0e5a1 completed June 10, 2026, 12:39 p.m.
Created at: April 29, 2026, 8:46 p.m.